Hub Updates is the UW-Madison data science community's resource for news, trainings & workshops, and professional opportunities in data science.

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April 20, 2022

 

Data Science News

Health Sciences Data Carpentry: May 16-17th

The Data Science Hub and Ebling Library will be hosting a Data Carpentry workshop from 9am-4:30pm on May 16th-May 17th. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. This workshop teaches data organization in spreadsheets, data cleaning with openRefine, data management and querying with SQL, and data analysis and visualization with R. To learn more or to register, visit the workshop website.

Upcoming Trainings & Workshops

 
Health Sciences Data Carpentry, Data Science Hub
May 16th-May 17th, Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information and to register, visit this site.

Microbiome Analysis using QIIME2, Microbiome Hub
April 29th, This workshop will cover amplicon-based microbiome analysis using the QIIME2. This all-day workshop will consist of lectures and hands on training to analyze from raw dataset through publication-quality statistics and visualizations. Register here.

Analysis of QIIME2 Microbiome Results, Microbiome Hub
May 6th, In this follow-up workshop the R package "qiime2R" will be used to convert data files exported by QIIME2 for further analysis and graphical explorations. This all-day workshop that will consist of lectures and hands on training. Register here.

Upcoming Seminars & Events

 
SILO Seminar Series
This semester there will be hybrid seminars, with both in-person and virtual (Zoom) participation. The number of in-person attendees will be limited to 20 people, selected at random. In-person attendance will be notified the Tuesday around 10 p.m. before each SILO, and all others may participate via Zoom.
  • April 27th, 12:30 p.m., TBA with Dan Roy
  • May 4th, 12:30 p.m., TBA with Qing Liu

CDIS Red Talk: Livestock 4.0, The Digital Technology Revolution
April 21st, 4:00 p.m., Join the CDIS Red Talk where Dr. Dorea will discuss the current and future perspectives of digital technologies and predictive analytics for livestock farms. Register here.

ECE Distinguished Alumni Seminar Series: Interactive Machine Learning
April 21st, 1:00 p.m, Join Dr. Singh, an associate professor at Carnegie Mellon University in the Machine Learning department, as she talks about some recent research from her group that focuses on the design of interactive machine learning algorithms for fully autonomous operation as well as for settings where human judgement is available and can be queried in an interactive fashion. Register here.

Intelligent Systems Molecular Biology 2022 Conference
The International Society for Computational Biology invites abstracts for research that are topical to bioinformatics and computational biology and are in progress (unpublished, formerly Late-Breaking Research) or previously published within the last 18 months (previously Highlights Track) for consideration for oral and/or poster presentation. For more information and to apply, visit this site. Deadline is April 21st.

Student Opportunities

 
Data Collector, Institute for Research on Poverty
The Institute for Research on Poverty is looking for a student to use a decision coding manual to record custody, placement, visitation, and child support data as described in Wisconsin family court cases, such as divorces and paternities, into a computerized instrument. Apply by April 29.

Analytics Intern, The City of Madison
The City of Madison seeks an Analytics Intern to join our Data and Innovation Team. This is a great position for someone interested in combining technical data work with deep consideration of human factors to make an impact on their community. In this role, the intern will assist in providing innovative solutions to complex problems, working with agency partners to understand what needs and issues to address. The intern will aid in efforts to infuse data and innovation into the City's business processes, and to answer deep questions about the City of Madison. Apply by April 27.

Organizational Skills Inventory Intern, The City of Madison
The City of Madison seeks an intern to join its Data and Innovation Team to assist in developing a Citywide data skills inventory to support data training and upskilling. This is a great position for someone with interest in working with others to create systematic, organization-wide change, and with experience or knowledge of data systems or concepts. In this role, the intern will aid in efforts to infuse data and innovation into the City's business processes, and to answer deep questions about the City of Madison. Apply by April 27.

Research Assistant
Law Professor Dr. Nina Varsava is seeking to hire a graduate student research assistant to work on
a project that uses computational methods to study legal texts, judicial decision making, and the
legal system. The project examines the relationship between judicial decisions (in the form of
text-based judicial opinions) and judge attributes to see how extra-legal factors like judge
demographics (e.g., gender) interact with judicial decision properties. For more information and to apply, visit this site.

Professional Opportunities

 

On Campus

Research Systems Administrator, Center for High Throughput Computing
Join the Center for High Throughput Computing (CHTC) as system administrator working on the next generation of large-scale distributed computing actively used by many of the largest science projects in the world! This is the perfect opportunity for a candidate with existing systems administration experience to build on your skills in managing large-scale Linux systems using a variety of cutting edge tools. The position will collaborate with software development and research facilitation teams to deploy new technologies that enable researchers to solve computational problems using thousands of CPU cores. Apply by April 29.

Bioinformatics Position, Department of Biochemistry
Alan Attie and Mark Keller are searching for someone who will work to develop a Type 2 Diabetes Data Hub. This web-based resource will contain high-volume data files, primarily transcriptomics, but also lipidomics and proteomics datasets. In addition, the hub will integrate the data with genome-wide association data, chromatin loop (Hi-C) and open chromatin (ATAC-seq) data. These datasets will be from human and mouse experiments. The canidate should have expertise in accessing, downloading, and cleaning high-volume datasets, implementing statistical and graphical software (primarily R-scripts), and creating tools behind a user-friendly web dashboard. Interest individuals should contact Alan Attie (adattie@wisc.edu)

Off Campus

Research Data Scientist, University of Virginia School of Law
The Legal Data Lab serves the ever-evolving empirical research needs of the Law School community and provides support across the entire lifecycle of empirical projects. The Lab is currently looking for a professional with expertise in the collection, cleaning, and organization of datasets (e.g., web scraping, data manipulation, etc.).  This is a new position reporting to the Head of the Legal Data Lab. One of the Library‚Äôs highest priorities is to help students learn effective research skills, and to that end, the librarians have developed an ambitious instructional program that supports both in-class and individual point-of-need learning. For more information and to apply, visit this site.

Metadata Librarian, University of Pittsburg
The Metadata Librarian is a Faculty Librarian in the University Library System (ULS) Technical Services Department and reports to the Head of the Metadata and Discovery Unit. The Metadata and Discovery Unit is a center for ULS expertise in descriptive, technical, and administrative metadata, with a focus on access, discovery, and stewardship of digital content created, hosted, or published by the ULS. The unit develops and implements metadata strategies, policies, and procedures for such metadata within the Library System and provides expertise to others at the University of Pittsburgh. For more information and to apply, visit this site.
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