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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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). 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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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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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
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ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that
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to treatment for end stage kidney disease (ESKD) is estimated to reach 9.1 million by 2030. This burden is overwhelmingly felt by patients in low and middle income countries (LMICs). Less than 10% of those who