80 natural-language-processing-phd Postdoctoral research jobs at University of Minnesota
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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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training while also performing services for the University of Minnesota, for which they are compensated. This position will involve analysis of variation in soybean and pea genomes, including natural
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. Matthew Winn and his collaborators on topics related to speech perception, hearing impairment, and listening effort. This 6-month PA research position is supported by funding from the National Institutes
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related disciplines Research experience in use of hydrologic models Demonstrated experience with field monitoring of hydrology or soil parameters Demonstrated excellent written and oral communication skills
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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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and an interest in language or communication. A two-year commitment is preferred. Responsibilities: Generation of Scientific Products (70%) Process and analyze data from NIH funded studies of infant
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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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. If the applicant has not completed their degree, they will be hired as a predoctoral associate (9545) until their PhD is conferred. Percentage breakdown of duties: 20% Captures and collars coyotes and foxes in urban
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Department of Soil, Water, and Climate in the College of Food Agricultural and Natural Resource Sciences
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Essential Qualifications Applicants require a PhD in a Biochemistry-related field Preferred Qualifications: Experience with animal behavioral studies, advanced statistics, and experimenta design