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Program. The research activities will focus on climate-driven input, transport, and fate of plastic debris in the Lake Ontario watershed and nearshore region. Job Responsibilities Applicants must hold a PhD
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
to be involved in experiments in the Sheikh lab. Minimum Education and Experience Requirements PhD in Computational Biology, Bioinformatics, or a related field. Required Qualifications, Competencies, and
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Experience: Candidate must hold a PhD or equivalent degree in neuroscience, biochemistry, chemistry, molecular biology, psychology, computer science, biomedical engineering, biology, or other relevant
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or related fields PhD graduates of UT Dallas’s Bioengineering program is highly preferred Other Qualifications To the extent this position requires the holder to research, work on, or have access
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. This is an entry level position for a candidate who has recently completed a PhD in transportation engineering or planning, air pollution modeling, health impact and risk assessment of air pollution and/or
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on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social
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: PhD degree in Computer Science, Data Science. Statistics, Economics, or a related field. College/Business Unit : Robinson College of Business Department: Institute for Insight Location : Atlanta Campus
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
molecule and vaccine candidates. Postdoctoral preceptors associated with the program are drawn from the departments of Infectious Diseases, Structural Biology, Chemical Biology & Therapeutics, Immunology and
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate, Multiple Vacancies Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research