1:00 PM - 2:30 PM Technical Interview Overview & Case Workshop + Recruiter Q&A November 28, 2023 @ 1:00 PM - 2:30 PM Technical Interview Overview & Case Workshop + Recruiter Q&A During this workshop we will walk through and practice the Technical Interview and a Case-Tech Interview example. These examples will be guided by Capital One professionals trained in facilitating the interview process. A recruiter will also be on the call to answer any questions you may have. This workshop is intended to help candidates prepare for the following Students & Grads roles: Technology Internship Program and the Technology Development Program.
6:00 PM - 7:00 PM Hub Garden Workshop November 28, 2023 @ 6:00 PM - 7:00 PM Hub Garden Workshop The Inclusive Excellence Hub is a new space on campus for historically underrepresented graduate students to build camaraderie and gain resources for their holistic well-being. Join us in planning and developing ideas. We are also seeking Graduate Student insight and will be having a California Native Plant Specialist who will also provide a brief presentation. Please join us & contribute your ideas as we develop our garden. Cafe Platano will be provided, RSVP here!
12:30 PM - 1:30 PM Find Your Future with Us! Natural Resources and Agriculture Career Fair November 30, 2023 @ 12:30 PM - 1:30 PM Find Your Future with Us! Natural Resources and Agriculture Career Fair Find Your Future With Us! Drop in to learn about "Entry-Level" Natural Resource and Agriculture Related Job openings which are open the week of this event! We will highlight some information about these positions, their locations, and the best way to apply and be considered! Please note, this is intended for students and graduates who have a background, interest and degree in Biology, Natural Resources, Agriculture, and related sciences. Due to HR Requirements, applicants in non-science backgrounds will not be considered for the positions.
4:00 PM - 5:15 PM Faculty panel, “Dual Careers: navigating the ‘two body’ search” November 30, 2023 @ 4:00 PM - 5:15 PM Faculty panel, “Dual Careers: navigating the ‘two body’ search” This panel will bring together UC alumni and current faculty to discuss STEM faculty hiring and share insights with the audience of STEM PhD trainees. Topics may include: Timeline for search(es), when to talk about your priorities as a couple, and who or what might provide assistance/support to you in the planning phase? When might be best to bring up a partner’s work needs/situation to potential employers? Do institutions provide any kind of dual career assistance? Is it ok to negotiate for benefits that affect a partner’s job options or work? Speakers include: Ed Green, PhD, Director, QB3-Santa Cruz and Professor of Biomolecular Engineering, UC Santa Cruz Amy Pickering, PhD, Assistant Professor, Blum Center Distinguished Chair in Global Poverty and Practice, UC Berkeley Meng-meng Fu, PhD, Assistant Professor of Cell Biology, Development and Physiology, UC Berkeley
4:30 PM - 5:30 PM Time Management: Tips and Tools November 30, 2023 @ 4:30 PM - 5:30 PM Time Management: Tips and Tools Thank you for your interest in the "Time Management: Tips and Tools" workshop offered by Graduate Peer Support Providers at UC Berkeley. Join us for a chance to learn about tips and tools to help you management your time! In this workshop, we will cover the following topics: What is Time Management Time Management Tips The Big Three Strategies Time Management Tools Tackling Procrastination This workshop will take place on Thursday November 30th at 4:30PM on Zoom or in person. For those interested in attending in person, a location will be sent via email after registration. Please complete this registration form to let us know if you will be able to join us at the workshop! If you have any question, please contact us at, [email protected]
3:30 PM - 5:00 PM Winter Wonders: Preparing for the Break and Thinking Forward December 1, 2023 @ 3:30 PM - 5:00 PM Winter Wonders: Preparing for the Break and Thinking Forward UndocuGrads invites our community to come together for this exciting virtual event that focuses on thinking about the present, past, and future of our academic journeys. Unlike traditional online meetings, we will be using an interactive avatar-based environment to not only revisit what went well (and didn’t) this past semester but also what we might want to improve on for the Spring semester. Since this event will be online, we will also provide a prize for participating! RSVP here: https://forms.gle/nvD4hpmy3odxNBDh9
10:00 AM - 12:00 PM Python Fundamentals: Parts 1/3 December 4, 2023 @ 10:00 AM - 12:00 PM Python Fundamentals: Parts 1/3 This three-part interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application. The complete Python Fundamentals series has 6 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Parts 1-3 are intended for the complete beginner in Python. We will go over the basics of Python in Jupyter, variables and data types, and a gentle introduction to data analysis in Pandas: Part 1: Introduction to Jupyter and Python, Variables Part 2: Data Types and Structures Part 3: Introduction to Pandas After completing parts 1-3, you will be able to do basic operations in Python. You will know how to navigate Jupyter Notebooks, how to work with common data types and structures, methods, and basic operations in Pandas. You will have the minimum requirements to continue to other D-Lab workshops such as Python Data Wrangling or Python Data Visualization. Prerequisites: None Workshop Materials: https://github.com/dlab-berkeley/Python-Fundamentals Software Requirements: Installation Instructions for Python Anaconda
10:00 AM - 12:00 PM R Fundamentals: Parts 1/4 December 4, 2023 @ 10:00 AM - 12:00 PM R Fundamentals: Parts 1/4 This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research. Each of the parts is divided into a lecture-style coding walkthrough interrupted by challenge problems, discussions of the solutions, and breaks. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Prerequisites: None Part 1: Introduction Learn how to navigate the R Studio environment. You will also learn how to store data, characteristics of basic data types and data, the importance of data frames (think Excel spreadsheets), and how to save your work. Part 2: Subsetting and Reshaping You will then be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Part 3: Data Exploration and Visualization Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots using ggplot. Part 4: Control Structures In the final part, we will cover how to use programming control structures such as functions, for-loops, and if-else statements to make more readable and re-usable code. Workshop Materials: https://github.com/dlab-berkeley/R-Fundamentals Software Requirements: Installation Instructions for R and RStudio
10:00 AM - 12:00 PM R Fundamentals: Parts 2/4 December 5, 2023 @ 10:00 AM - 12:00 PM R Fundamentals: Parts 2/4 This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research. Each of the parts is divided into a lecture-style coding walkthrough interrupted by challenge problems, discussions of the solutions, and breaks. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Prerequisites: None Part 1: Introduction Learn how to navigate the R Studio environment. You will also learn how to store data, characteristics of basic data types and data, the importance of data frames (think Excel spreadsheets), and how to save your work. Part 2: Subsetting and Reshaping You will then be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Part 3: Data Exploration and Visualization Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots using ggplot. Part 4: Control Structures In the final part, we will cover how to use programming control structures such as functions, for-loops, and if-else statements to make more readable and re-usable code. Workshop Materials: https://github.com/dlab-berkeley/R-Fundamentals Software Requirements: Installation Instructions for R and RStudio
10:00 AM - 12:00 PM Python Fundamentals: Parts 2/3 December 5, 2023 @ 10:00 AM - 12:00 PM Python Fundamentals: Parts 2/3 This three-part interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application. The complete Python Fundamentals series has 6 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Parts 1-3 are intended for the complete beginner in Python. We will go over the basics of Python in Jupyter, variables and data types, and a gentle introduction to data analysis in Pandas: Part 1: Introduction to Jupyter and Python, Variables Part 2: Data Types and Structures Part 3: Introduction to Pandas After completing parts 1-3, you will be able to do basic operations in Python. You will know how to navigate Jupyter Notebooks, how to work with common data types and structures, methods, and basic operations in Pandas. You will have the minimum requirements to continue to other D-Lab workshops such as Python Data Wrangling or Python Data Visualization. Prerequisites: None Workshop Materials: https://github.com/dlab-berkeley/Python-Fundamentals Software Requirements: Installation Instructions for Python Anaconda
10:00 AM - 12:00 PM Python Fundamentals: Parts 3/3 December 6, 2023 @ 10:00 AM - 12:00 PM Python Fundamentals: Parts 3/3 This three-part interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application. The complete Python Fundamentals series has 6 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Parts 1-3 are intended for the complete beginner in Python. We will go over the basics of Python in Jupyter, variables and data types, and a gentle introduction to data analysis in Pandas: Part 1: Introduction to Jupyter and Python, Variables Part 2: Data Types and Structures Part 3: Introduction to Pandas After completing parts 1-3, you will be able to do basic operations in Python. You will know how to navigate Jupyter Notebooks, how to work with common data types and structures, methods, and basic operations in Pandas. You will have the minimum requirements to continue to other D-Lab workshops such as Python Data Wrangling or Python Data Visualization. Prerequisites: None Workshop Materials: https://github.com/dlab-berkeley/Python-Fundamentals Software Requirements: Installation Instructions for Python Anaconda
10:00 AM - 12:00 PM R Fundamentals: Parts 3/4 December 6, 2023 @ 10:00 AM - 12:00 PM R Fundamentals: Parts 3/4 This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research. Each of the parts is divided into a lecture-style coding walkthrough interrupted by challenge problems, discussions of the solutions, and breaks. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Prerequisites: None Part 1: Introduction Learn how to navigate the R Studio environment. You will also learn how to store data, characteristics of basic data types and data, the importance of data frames (think Excel spreadsheets), and how to save your work. Part 2: Subsetting and Reshaping You will then be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Part 3: Data Exploration and Visualization Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots using ggplot. Part 4: Control Structures In the final part, we will cover how to use programming control structures such as functions, for-loops, and if-else statements to make more readable and re-usable code. Workshop Materials: https://github.com/dlab-berkeley/R-Fundamentals Software Requirements: Installation Instructions for R and RStudio
4:10 PM - 5:10 PM Jefferson Lecture with Daniel Ziblatt on American Democracy and the Crisis of Majority Rule December 6, 2023 @ 4:10 PM - 5:10 PM Jefferson Lecture with Daniel Ziblatt on American Democracy and the Crisis of Majority Rule Daniel Ziblatt is Eaton Professor of Government at Harvard University and director of the Transformations of Democracy group at Berlin’s WZB Social Science Center. He is the author of four books, including How Democracies Die (Crown, 2018), co-authored with Steve Levitsky, a New York Times best-seller. The lecture will discuss America’s contemporary democratic predicament is rooted in its historically incomplete democratization. Born in a pre-democratic era, the constitution’s balancing of majority rule and minority rights created still unresolved dilemmas. Placing the U.S. in comparative perspective, this lecture offers new perspectives on what should be “beyond the reach of majorities”– and what should not– making the case for a fuller democracy as antidote to the perils of our age.
10:00 AM - 12:00 PM R Fundamentals: Parts 4/4 December 7, 2023 @ 10:00 AM - 12:00 PM R Fundamentals: Parts 4/4 This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research. Each of the parts is divided into a lecture-style coding walkthrough interrupted by challenge problems, discussions of the solutions, and breaks. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Prerequisites: None Part 1: Introduction Learn how to navigate the R Studio environment. You will also learn how to store data, characteristics of basic data types and data, the importance of data frames (think Excel spreadsheets), and how to save your work. Part 2: Subsetting and Reshaping You will then be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Part 3: Data Exploration and Visualization Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots using ggplot. Part 4: Control Structures In the final part, we will cover how to use programming control structures such as functions, for-loops, and if-else statements to make more readable and re-usable code. Workshop Materials: https://github.com/dlab-berkeley/R-Fundamentals Software Requirements: Installation Instructions for R and RStudio
12:00 PM - 1:30 PM Nuts and Bolts of Applying to a Position [ZOOM] December 7, 2023 @ 12:00 PM - 1:30 PM Nuts and Bolts of Applying to a Position [ZOOM] Join us online with Karla Reyes, a Transcending Beyond Berkeley Fellow and a professional consultant and expert in undocumented student contracting options, as they will be sharing tips and resources about interviews. RSVP here!
3:00 PM - 3:45 PM Fill Your Cup: Self Care for Careers of Service December 7, 2023 @ 3:00 PM - 3:45 PM Fill Your Cup: Self Care for Careers of Service Before you can show up for others, you need to show up for yourself. Learn how to prioritize wellbeing in a demanding world with Emily Fleming, advocate and Teach For America alumnae. If you're interested in teaching, or if you're just burned out from this last semester, join Emily to learn how to start - and stick to - a lasting self-care routine.
11:00 AM - 3:00 PM Professional in Residence with Dr. Arne Bakker, director of meetings and community for science at the Chan Zuckerberg Initiative December 8, 2023 @ 11:00 AM - 3:00 PM Professional in Residence with Dr. Arne Bakker, director of meetings and community for science at the Chan Zuckerberg Initiative Learn about the path from UC Berkeley postdoc to academic administration, and development and support of the scientific community. Arne’s talk will cover his career journey and advice for: -Career decision making and transitions for PhDs -Non-faculty careers on campus -Careers in scientific community building Small group mentoring sessions covering the following topics and times (you must register to attend, Stanley Hall location will be provided in confirmation): -1:30-2:05pm – Career Impact of participating in leadership/trainee initiatives (non-research roles on campus like Beyond Academia) -2:10-2:45pm – Navigating career transitions -3:00-3:35pm – Job search advice – for those actively on the market Bio: Arne Bakker is the director of meetings and community for science at the Chan Zuckerberg Initiative. He has a PhD in tumor immunology from the Netherlands Cancer Institute and did his postdoctoral research at UC Berkeley. Before joining CZI, Arne was the assistant dean of career education for PhDs and Postdocs at Stanford University where he helped graduate students and postdocs find meaningful work. Throughout his career, Arne has always been actively bringing scientists together: he ran a Science Festival in Amsterdam, co-organized PhD career conferences at UC Berkeley and Stanford, and hosted several events at the Bay Area Science Festival. Now at CZI, Arne leads the team that organizes 15-20 scientific meetings a year for the researchers and communities that CZI Science funds and supports. In addition, he partners with the various CZI Science program teams to build and support collaborative communities, using the lessons he has learned during his multifaceted career.
2:00 PM - 3:00 PM U.S. EPA Region 8 & 9 Federal Careers Virtual Workshop December 12, 2023 @ 2:00 PM - 3:00 PM U.S. EPA Region 8 & 9 Federal Careers Virtual Workshop Come learn about Federal Employment & Region 8 of the EPA! Entry level, early and mid-career professionals are all welcome to attend. Participants have the opportunity to learn about EPA Region 8 and 9’s mission, how to navigate USA-Jobs and creating a federal resume. There will be panel discussion to provide a glimpse into variety of careers within the EPA. Our region covers Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming and 28 sovereign Tribal Nations, with our main operational office in Denver Colorado. Region 8 encompasses the heart of the American West, including much of the Rocky Mountains, Great Plains and Colorado Plateau. Join us to learn how EPA Region 8 contributes to EPA’s mission of protecting human health and the environment.
1:00 PM - 2:30 PM Grad Slam Information and Prep Session December 14, 2023 @ 1:00 PM - 2:30 PM Grad Slam Information and Prep Session GRAD SLAM INFO SESSION/WORKSHOP ***ALL DISCIPLINES WELCOME*** Presented by: GradProDATE: THURSDAY, DECEMBER 14 TIME: 1:00 P.M.-2:30 P.M. This workshop is intended to walk students who are interested in participating in the 2024 Grad Slam competition through the process of brainstorming a pitch, learning how to develop an engaging and accessible story and creating effective visual aides! The session will include: -a walkthrough of competition guidelines -review of past competitors' presentations -best practices for oral presentations and slide creation For questions or any disability-related accommodations, contact GradPro at [email protected] prior to the event. For more information about GradPro, go to: https://grad.berkeley.edu/professional-development
11:00 AM - 12:30 PM Grad Slam Information and Prep Session December 18, 2023 @ 11:00 AM - 12:30 PM Grad Slam Information and Prep Session GRAD SLAM INFO SESSION/WORKSHOP ***ALL DISCIPLINES WELCOME*** Presented by: GradProDATE: MONDAY, DECEMBER 18 TIME: 11:00 A.M.-12:30 P.M. This workshop is intended to walk students who are interested in participating in the 2024 Grad Slam competition through the process of brainstorming a pitch, learning how to develop an engaging and accessible story and creating effective visual aides! The session will include: -a walkthrough of competition guidelines -review of past competitors' presentations -best practices for oral presentations and slide creation For questions or any disability-related accommodations, contact GradPro at [email protected] prior to the event. For more information about GradPro, go to: https://grad.berkeley.edu/professional-development
November 30, 2023 @ 12:30 PM - 1:30 PM Find Your Future with Us! Natural Resources and Agriculture Career Fair
November 30, 2023 @ 4:00 PM - 5:15 PM Faculty panel, “Dual Careers: navigating the ‘two body’ search”
December 6, 2023 @ 4:10 PM - 5:10 PM Jefferson Lecture with Daniel Ziblatt on American Democracy and the Crisis of Majority Rule
December 8, 2023 @ 11:00 AM - 3:00 PM Professional in Residence with Dr. Arne Bakker, director of meetings and community for science at the Chan Zuckerberg Initiative