A bi-monthly newsletter with updates on data and computing news and events for UW-Madison researchers.
In the June 26, 2019 update:
- Distributed Developers Community of Practice
- Upcoming Training and Workshops
- Campus Opportunities and Groups
- External Opportunities
- unsure which campus data and computing resources you need for your research?
- interested in making connections and starting new collaborations with data scientists and other researchers on campus?
- looking for training in data and computing skills?
The Data Science Hub can help! Send an email to the Data Science facilitator (email@example.com) or come by Hub Central in the Discovery Building during office hours (Th 3:00-5:00 PM). Sarah will also be at Open Coding Lab in Steenbock Library (T 2:30-4:30 PM). Check calendar for latest details and updates.
Distributed Developers Community of Practice (CoP)
The Distributed Developers Community of Practice (CoP) is intended to provide those who handle developmental/tracking apps/bolt on or shadow systems/custom reporting and data responsibilities an opportunity to share best practices, learn, provide feedback, network, and collaboratively interact with campus peers. The goal is to create and nurture a community for all who may feel isolated in their areas, and would like to keep up with campus changes, grow networks, and expand skills and abilities. Another good and timely reason to form this group (and why you should join) is that this community could become an important contact and feedback point for recently started campus initiatives, including the Administrative Transformation Initiative and Interoperability Transformation Initiative.
If you are among those at the UW-Madison who work as the solo or small team IT developers for your respective units and divisions, there will be an exploratory meeting for a Distributed Developers CoP on July 15th at 3:30pm (location TBD). This session will be facilitated by Amanda Thornton and Jason Pursian, with the support of Sarah Carroll from the HR CoP team. Please RSVP for this exploratory session.
Upcoming Training and Workshops
R Programming and Concepts
This workshop (July 8-11, 9:00-12:00, 3218 Sewell Social Sciences Building) will provide an overview of fundamental concepts of the R language. Topics include the grammar and syntax of R, data manipulation, and programming structures, with examples of graphing, and statistical functions. This course is most appropriate for those who have some previous experience with statistical software – perhaps in a stats class or working on a small project – but who need a thorough grounding in the R language. This course focuses on “base” or “core” R (in contrast to the “tidyverse”). If you have previously taken our “R for Researchers” workshop, some of this will be review. Registration is required.
Next Gen. Data Analysis Workshops
The Bioinformatics Resource Core (BRC) at the UW Biotechnology Center (UWBC) is offering Next-Generation Sequencing (NGS) Data Analysis skills with open-source software on a Linux platform. Workshops are heavily hands-on. NEW This summer a new series based on R / RStudio / bioconductor will be also offered with more limited seating. Registration is required for all workshops. There is a fee associated with each workshop.
|Linux & open source workshops:
Linux Essentials, July 9
Intro to NGS Data Analysis, July 11
mRNA-Seq, July 12
|R / RStudio / bioconductor workshops:
Intro to R / RStudio / bioconductor, July 23
RNA-Seq Analysis with R, July 26
ChIP-Seq Analysis with R, July 30
Software Training for Students, Room B1144A, DeLuca Biochemistry Building, 420 Henry Mall (Registration required).
Python, Wednesday, June 26, 5:30-7:30
Photoshop 1, Thursday, June 27, 5:30-7:30
HTML, Monday, July 8, 5:00-7:00
Excel 2: Analysis, Tuesday, July 9, 5:00-7:00
MATLAB 1, Wednesday, July 10, 5:00-7:00
Campus Opportunities and Groups
Tiny Earth Symposium
The Tiny Earth Symposium will take place at the University of Wisconsin-Madison’s Discovery Building on July 10 and 11, 2019 (plan to travel to Madison on July 9 and participate in an evening pre-symposium event!). The 2019 symposium will feature the annual poster competition, highlight innovative research and discovery across our community, and serve as a connection hub for Tiny Earth’s student-scientists and implementing instructors. The program will include “tapas talks”, a series of short presentations on an exciting array of topics. After a provided lunch and keynote address, the annual poster competition will commence. Day 2 will feature excursions to local biotech companies and UW Athletics, the graduate school and career expo, awards, and more! Register today.
PhD Level Research Assistant Positions
Dr. Qiongshi Lu has multiple PhD-level RA openings in his research group specializing in statistical genetics. The student RAs are expected to work on methodological research motivated by human genetics research problems, and will work on large-scale genetic data for a variety of diseases and human traits. Experience in genetic analysis is NOT required, but a strong interest in genetics is highly valued. You can find more information about recent research projects on the lab website. To apply, please send Dr. Lu your CV and transcript.
Computational Plant Sciences (ComPS) Group
A common problem both bench and field plant scientists face is that advance in high-throughput measurement platforms have outpaced our ability to readily analyze the datasets produced. To help solve this problem, the researchers in Plant Sciences formed a community of practice, a peer-to-peer mentoring network that will work across lab, departmental, and college boundaries to help plant scientists build computational and data science skillsets. Over the summer ComPS will hold monthly meetings at 4:30pm at the Union Terrace on the first Wednesday of the month.
Research Systems Administrators Group (RSAG)
RSAG meets on the third Wednesdays of every month and allows systems administrators of research systems to share expertise. Join the email list by sending an email message to firstname.lastname@example.org updates and future meetings.
Research Scientist – Computational Physics and Machine Learning
UES, Inc. is seeking an entry level Scientist in the areas of computational physics, machine learning and optimization, to serve as a collaborative member of the Soft Matter Branch within the Materials and Manufacturing Directorate of the Air Force Research Laboratory at Wright Patterson Air Force Base in Dayton, OH. The research project will focus on the development of computational models, optimization tools and machine learning-assisted approaches for design of material architectures and devices. Specific project areas include:
- Coupled mechanical-electromagnetic optimization for design of AM graded structures
- Origami-based reconfiguration and mechanical instability design
- Prediction of variance mechanisms and uncertainty in AM micro-composites
Post-Doctoral Research Fellow, Biostatistics, Statistical Genetics, ‘Omics
A Post-Doctoral Research Fellow position is available in Drs. Charles Kooperberg and Alexander Reiner’s group at the Fred Hutchinson Cancer Research Center. The successful applicant will develop and apply statistical/computational methods to analyze whole genome sequencing data and various other types of multi-omics data (DNA methylation, RNA sequencing, metabolomics, proteomics) for elucidating the genetic basis and molecular mechanisms underlying chronic conditions such as cardiovascular disease and hematologic conditions (for example clonal hematopoiesis) in multi-ethnic populations. Interested candidates should submit a cover letter and CV to attention: Dr. Charles Kooperberg, Biostatistics Program, Fred Hutchinson Cancer Research Center via the career website.
Data Science Forum 2019
September 17 – 18, Cornell University, Ithaca, NY
The Data Science Forum is an opportunity for institutions of higher education to share ideas, perspectives, and solutions designed to extract value from our institutional data. Broad topics will include: data and infrastructure strategy; hiring the “right” expertise; big data, machine learning, and statistical modeling; privacy and legal concerns; and pitfalls and success stories. They would like to have as many institutions as possible participate in these discussions. To that end, they ask that you send at most two representatives from your institution. If in addition to your two representatives you have a speaker well suited to one of the topics listed on the registration form, please contact Cecilia Earls for special consideration.
Machine-learning Opportunities at the University of Wisconsin Milwaukee
The Data Science/Machine Learning group in the Department of Physics plans to hire up to three postdoctoral associates in applications of machine learning to physics and biology. They seek outstanding candidates to pioneer the development and application of advanced machine learning techniques to key problems at the forefront of science. While familiarity with machine learning would be an advantage, exceptional candidates will receive serious consideration regardless of background. Please send applications (cover letter, resume and publications list) to Prof. Abbas Ourmazd.
Data Driven Wisconsin 2019
We are pleased to announce the fourth annual Data-Driven Wisconsin conference (formerly Big Data Wisconsin conference), to be held in Milwaukee on Wednesday, July 31. Jordan Ellenberg, NY Times best-selling author of How Not to Be Wrong: The Power of Mathematical Thinking will be giving our opening keynote and Cathy O’Neil, NY Times best-selling author of Weapons of Math Destruction: How Big Data Increase Inequality and Threatens Democracy will be giving the afternoon keynote.
Check calendar for latest details and updates for all listed events. If you have a relevant event or group you’d like to see included in next month’s newsletter. Please send us an email at email@example.com.
If you were forwarded this email and would like to sign up to receive these emails regularly please sign up at this link.