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Field
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internal U-M eResearch Proposal Management (eRPM) routing timelines. 3. Research & Scholarly Productivity Support Directly extend the Program Lead's research output, working from data and drafts up through
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Professional 1: Prior experience in rodent behavioral research lab or similar; Knowledge of neuroanatomy and/or animal behavior; Experience with coding, especially in Python or Matlab Essential Qualifications
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in the geosciences, both within the department and through interdepartmental programs. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and
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candidate. Who We Are Information and Technology Services (ITS) supports U-M faculty, researchers, staff, and students in their use of technology to teach, learn, research, and work, and be leaders in
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-cell or spatial genomics, in vivo imaging, cellular/molecular immunology, or GPCR signaling. • Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines
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Qualifications: • Experience in artificial intelligence/machine learning approaches applied to digital data and multi-omics data • Experience in multi-omics analysis • Experience using R or Python Pay and Benefits
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, pre-processing fMRI imaging, as well as providing oversight and assistance to other lab members' efforts. Experience with a Linux computer environment and Python scripting for analysis is critical
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software programs such as Excel, NVivo, Covidence, Stata, R, or Python. Education or coursework in public health, psychology, social sciences, or a related discipline. Familiarity with Microsoft Office and
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-programming skills using Python, MATLAB, R, or an equivalent platform, including experience developing reproducible computational workflows. Demonstrated ability to conduct independent research, formulate data
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, with opportunities to develop independent research directions. Visa sponsorship is not available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid