82 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Minnesota
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, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental
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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in
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• PhD, DDS, DVM, JD, MD or equivalent is required. Preferred Qualifications • Experience with primary airway epithelial cell biology. • Experience with viral vector-based gene therapy for pulmonary
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(subfield: experimental condensed matter physics) or closely related field, such as Electrical Engineering. Preferred Requirements: Applicants whose PhD work included substantial experimental work with a
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in the lab and is expected to foster the development of junior lab members. Qualifications Required Qualifications: The ideal candidate will have a PhD in microbiology, biochemistry, bioinformatics
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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: PhD in hearing science, psychology, linguistics, physiology, cognition, or engineering, or a related field. Experience conducting research with human participants. Experience in creating and analyzing