85 phd-computer-artificial-machine-human Postdoctoral positions at University of Minnesota
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(DVM, PhD, or equivalent) degree(s) by start date and should be able to demonstrate experience on pathogenesis, epidemiology, or virology of veterinary pathogens. Candidates with a strong background in
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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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%). • 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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hydrology and computer science. Any previous success in leading and delivering academic deliverables of using machine learning in solving hydrological problems and experience in spurring interdisciplinary
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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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in this field, as well as a PhD. Pay and Benefits Pay Range: $75,000 annually; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more
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technologies and how their technology use impacts their relationships and well-being, and on the application of machine learning in family and developmental research. The Post-Doc will contribute to Dr. Sun’s
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agreements on a temporary or permanent basis for any reason at any time. All required qualifications must be documented on application materials. Required Qualifications: • PhD in Retinal Biology, Immunology
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in science and engineering, chemistry is critical for solving society's most important problems and making significant positive impacts on human health, energy, and the environment. The UMN Department