Hub Updates is the UW-Madison data science community's resource for news, trainings & workshops, and professional opportunities in data science.
If you have feedback on the new format or suggestions for other news, events, and opportunities to include, send us an email at newsletter@datascience.wisc.edu.
Have questions about anything data science-related? Come see us at Coding Meetup on Tuesdays and Thursdays from 2:30-4:30 p.m. CT. To join Coding Meetup, join data-science-hubgroup.slack.com.
August 24, 2022
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Quarto is the next generation of R Markdown and has been re-built from the ground up to support more languages and environments, as well as to take what developers have learned from 10 years of R Markdown and weave it into a more complete, cohesive whole. While Quarto is a “new” system, it’s important to note that it’s highly compatible with what’s come before. Like R Markdown, Quarto is also based on Knitr and Pandoc, and despite the fact that Quarto does some things differently, most existing R Markdown documents can be rendered unmodified with Quarto. Quarto also supports Jupyter as an alternate computational engine to Knitr, and can also render existing Jupyter notebooks unmodified.
For those interested in trying Quarto, a live workshop has been recorded demonstrating Quarto's use and application for beginners.
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Upcoming Trainings & Workshops
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Fall 2022 Mini Workshop Series, Data Science Hub
September - December, 9:00 a.m. to 12:30 p.m., Virtual, The Data Science Hub will be hosting a series of mini workshops starting this Fall. This series will include topics such as Unix Shell, Git/GitHub, Intro to Machine Learning, Intro to Docker, Data Visualization in Python, and Intro to Julia. Each workshop can be registered separately and has their own pre-requisites. To view the workshop itinerary and register for workshops, visit the Fall 2022 Mini Workshop Series website.
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Upcoming Seminars & Events
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Machine Learning and Coffee Social, UW-Madison Machine Learning Community
August 31st, 9:00 a.m. to 11:00 a.m., Discovery Building, Hosted by the Machine Learning Community, this monthly summer event is intended to help machine learning practitioners across campus connect with one another, discuss and work on projects together, and most importantly — enjoy some free refreshments (coffee, tea, muffins, etc.). Laptops are encouraged! Alternatively, feel free to stop by simply to socialize and meet some new faces. To receive a calendar invite containing the room location, fill out the ML+Coffee Social registration form.
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Graduate Fellowship Program, NVIDIA
NVIDIA has long believed that investing in university talent is beneficial to the industry and key to our continued growth and success. The NVIDIA Graduate Fellowship Program provides funding in the amount of up to $50,000 per award to PhD students who are researching topics that will lead to major advances in accelerated computing and its applications. NVIDIA particularly invites submissions from students pushing the envelope in artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients not only receive crucial funding for their research, but are able to conduct groundbreaking work with access to NVIDIA products, technology and some of the most talented minds in the field. For more information on eligibility and how to apply, visit NVIDIA Graduate Fellows & Fellowship Opportunities. Submissions close September 9.
Project Assistant, Research Cyberinfrastructure
The Office of Research Cyberinfrastructure within DoIT (Division of Information Technology) at the University of Wisconsin-Madison, is hiring a graduate student Project Assistant to provide administrative and analytical support for services within Research Cyberinfrastructure including ResearchDrive, Cloud Platforms, Electronic Lab Notebooks and data science platform services. Qualified applicants must have experience with data analysis and visualization. This position is appropriate for graduate students from a wide variety of disciplinary areas. For more information and to apply, visit the Project Assistant position description. Apply by August 30.
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Professional Opportunities
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On Campus
Data Analyst, School of Medicine and Public Health
The Data Analyst will collaborate closely with other members of the Data & Analytics team, to generate and interpret the analytics leading to the annual production of the County Health Rankings and continued development of additional data content in both static and interactive presentation. This position will contribute to ongoing development of community health indicators and will provide data expertise in program communications. For more information and to apply, visit the Data Analyst position description.
Research Analyst, Center for Health Disparities Research
The Research Analyst will have the opportunity to contribute to research projects with far-reaching influence, including the largest study of its kind on social determinants of health in the context of Alzheimer's Disease. Broadly, CHDR's work is focused on mechanisms of health disparities-the ways fundamental factors such as race, ethnicity, and identity interact with a complex array of geopolitical, socioeconomic, health care, cultural, social, psychological, physiological, genetic, and cellular factors to produce different population health outcomes. Because this work requires collaboration and expertise across disciplines, Research Analysts with CHDR regularly work with investigators and colleagues from departments across campus and partner institutions. For more information and to apply, visit the Research Analyst position description.
Off Campus
ArcGIS Online Contractor, Cia Siab Inc
Cia Siab is a Hmong organization and they are looking to hire someone with ArcGIS experience on a temporary basis to create a dashboard for an Anti-Hmong Violence Project. The contractor's responsibilities include organizing and preparing data sets, creating relevant map layers, and more. For more information and to apply, visit the ArcGIS Online Contractor position description.
Data Scientist/Agronomist, Wysocki Family of Companies
The Data Scientist/Agronomist is responsible for the planning of research plots, collection of data, and analytics of research results. The Data Scientist/Agronomist will provide guidance and oversight of field research projects and follow protocols to ensure data collection and reporting is complete and accurate. Successful outcomes of this role include is the creation of data driven recommendations and integrating the date to provide management recommendations of predictive yield and size distribution. For more information and to apply, visit the Data Scientist/Agronomist position description.
Data Services Librarian, Rockefeller University
The Data Services Librarian is primarily responsible for the development, implementation, outreach, and support of data management activities at the University Library. The secondary role of the Data Services Librarian includes generating reports detailing research productivity (publications, preprints, etc.) as required for the University Administration and maintaining the author publication database. The accepted candidate will also ensure all publications from the University are compliant with all federal mandates regarding open access, provide support and guidance for scientists and lab managers, and develop training and workshops around this topic. For more information and to apply, visit the Data Services Librarian position description.
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