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Field
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Neuroscientist, Clinical Psychologist, Medical Doctor, and Neurologist. The successful applicant should have a PhD in Cognitive Neuroscience, Cognitive Psychology, Experimental Psychology, Neuropsychology, or a
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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on manuscripts, presentations, and research proposals Required Qualifications: PhD in psychology, neuroscience, biostatistics, computer science, or a related field. Strong interpersonal and technical skills
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at our web sites, http://www.ilr.cornell.edu . Required Qualifications: PhD in Industrial Relations, Public Policy, Sociology, Political Science, Management, City and Regional Planning, or a closely
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714.509.6094 Department: https://recruit.ap.uci.edu/JPF09063 Qualifications Basic qualifications (required at time of application) PhD in electrical or biomedical engineering, medical physics, computer science
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Qualifications: PhD in plant science, horticulture, agronomy, or a related field Pay and Benefits Pay Range: $61,008 - $62,000; depending on education/qualifications/experience Please visit the Benefits
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods