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laboratory and database administration. Experience with processing data from massively parallel DNA sequencers, computation on high performance compute clusters, using open source database management systems
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, Computer Science, or a related field. Basic understanding of Python programming. Familiarity with natural language processing concepts is a plus. Strong analytical and problem-solving skills. Ability to work
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students, assisting them in their research programs. This position offers an opportunity to gain hands-on experience, contribute to cutting-edge projects, and develop essential technical skills. Students
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. Programming skills (Python etc.) required and interest in learning about data and algorithmic privacy Requirements, qualifications, and/or competencies: Must apply with a CV and it is for a project in data
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reviewing drafts of grant applications, coding, designing new materials, or re-design existing materials, transcription, programming, database management, etc. Skills in statistical analysis in R or Stata
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executing aspects of our SNAP Ed and community-based nutrition education programming. This includes providing in person or zoom based nutrition education, food tastings, and cooking demonstrations to diverse
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. Applicants should have a JD or LLM degree or be in a program pursuing a JD or LLM degree. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s
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undergraduate program (e.g., Education, Human Development, Psychology, Mathematics, or Statistics) Successful completion of CITI Training Commitment to working 10 hours/per week between the hours of 10 am to 4 pm
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development and research. Experience with Microsoft Access, html programming/website design, and Geographic Information Systems (GIS) software (e.g. ArcGIS Pro), is highly desired. Previous related work
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Coursework or project experience in bioinformatics or computational biology Basic programming skills in Python, R, or similar languages Willingness to learn new computational tools and methods Strong attention