90 Computer Science "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at University of Minnesota
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per year. The position is supported by the National Science Foundation (NSF) and the University of Minnesota and will provide opportunities for collaboration with mathematicians and computer scientists
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contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Applications must be
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collaborative and inclusive research environment. Qualifications Required Ph.D. in engineering, computer science, or a closely related discipline. Research experience developing and applying statistical, machine
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the broader learning environment to augment professional development Qualifications Required: - PhD in psychology, cognitive science, or a related field - Ability to collaborate effectively with people from a
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, diabetes and metabolism. We have thematic interests in sterile inflammation and AI/ML-based computational biology. We expressly integrate new knowledge discoveries from genes and molecules to the whole
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, and write reports. Qualifications Required Qualifications: • Ph.D. in plant microbiology, molecular biology, soil biology, or a closely related field by the time of appointment. • Experience with plant
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for a Post
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Qualifications: (Must be documented on all application materials) Ph.D and B.S. or B.A. in biological sciences, related field, or education and work experience in biological science to equal a combination of 10
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partnerships (25%) Qualifications Required Qualifications: PhD in Kinesiology, Exercise Science, or Related Field; basic proficiency in statistical and qualitative analyses using relevant softwares; experience
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reshape the nervous system to regulate pain, sensory function, and reproductive physiology. We work at the intersection of neuroscience, endocrinology, immunology, and reproductive biology to understand why