80 phd-computer-artificial-machine-human Postdoctoral positions at University of Minnesota
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) Qualifications Essential Qualifications PhD in forestry or closely related field such as land resources Preferred Qualifications Have experience with bark beetles, tree defenses, and climate data Have experience
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cognition, and computational psychiatry. We work across levels of analysis—from single neurons to human behavior—using both rodent and human models. This position will focus primarily on rodent research
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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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opportunities within or outside of the department (e.g., ICD Bag Lunch, workshops) Qualifications Required Qualifications PhD in psychology, human development, or a related field. Ability to collaborate
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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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%). • 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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(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