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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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organizational, quantitative analysis and writing skills are necessary. Candidates with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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to work with mice Preferred Qualifications: • Knowledge of MR spectroscopy • Experience working with mice in research • Good computer skills Pay and Benefits Pay Range: $20.00 - $25.00; depending
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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activities as needed Qualifications Qualifications: Minimum of a bachelor’s degree required, preferably in computational biology; experience in administration of a project or program; computer and writing
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project that aims to develop new tools to gauge retinal health and disease using next-generation CRISPR-based tools. The ideal candidate who fills this position will have a consistent track record of
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outside Ability to learn to identify plants Valid driver’s license Ability to travel, including occasional overnight camping Preferred Qualifications: Computer literacy including MS Excel or other
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Responsibilities This position will work to improve greenhouse gas emissions estimates for dairy farming systems. The candidate will be responsible for developing whole-farm analyses which integrate soil trace gas