77 3-phd-positions-in-computer-science-artificial-intelligence Postdoctoral positions at University of Minnesota in United States
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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
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Department of Bioproducts and Biosystems Engineering at University of Minnesota, Twin Cities, has an opening for a full
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, 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 addition to MD programs at regional campuses in Duluth and St
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job An NIH-funded postdoctoral position is available for a two-year program in the laboratory of Brendan Dougherty within
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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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Program with eight sessions of counseling at no cost How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You
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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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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning