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Field
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Posting Description POSTDOCTORAL ASSOCIATE, DORKENWALD/FIETE LABS, McGovern Institute, (two openings) to conduct interdisiplinary research on the relationship between neural circuit structure and
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laboratory of Dr. David E. Warren (principal investigator/PI) with the PI and his research team to plan, develop, implement, and conduct research projects at UNMC. This includes ongoing NIH-funded research in
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
a multidisciplinary and multicultural team. Excellent networking ability and organizational skills. Experience in co-supervision and coordination of master/PhD students. Commitment to lab safety and
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prior to its start Conduct data collection, data processing, and data analysis in collaboration with internal and external partners Provide practical supervision to bachelor’s and master’s students
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at national scientific meetings Conduct original research within an international framework Have a creative, open, and resilient mind Criteria of the candidate: PhD degree in modelling, simulation, and process
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the fields of clinical epidemiology, social and behavioral health, biostatistics, and international and environmental health. The ISPM is highly reputed for its expertise in health effects of environmental
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. Candidates should hold a PhD degree with professional experience in biotechnology, process engineering, modelling, and simulation of bioreactor. The postdoctoral researcher will join a multidisciplinary and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, Competencies, and Experience - PhD in Environmental Studies/Policy, Organizational Studies, Management, Business, Political science, Sociology, Economics, or related disciplines, or a closely related field
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to plan, develop, implement, and conduct research projects at UNMC. This includes ongoing NIH-funded research in developmental, aging, and neurological populations including healthy children, healthy older
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, to understand how brain networks and symptoms evolve within individuals over time. These studies combine high-frequency neuroimaging, behavioral assessment, wearable data, and digital phenotyping to characterize