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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description
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Appointment Start Date: Immediately Group or Departmental Website: https://med.stanford.edu/lulab.html (link is external) How to Submit Application Materials: Email the required application materials to bingwei
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development, as well as biomarkers that can be translated to the clinic. For more information: https://www.bcm.edu/people-search/pawel-stankiewicz-31243 Job Duties Designs and conducts logical scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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addition to an annual development review. Continued scientific interaction and collaboration after the fellowship period will be strongly encouraged. Supervision Exercised The postdoctoral researcher is expected
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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research in the lab, please look at our lab publications: https://www.ncbi.nlm.nih.gov/myncbi/1ZuZJziC0nrUgr/bibliography/public/ Includes a terminal degree (PhD). Prior experience working with Mouse and
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at scientific conferences. • Contribute to the CNCPS development and support outreach efforts to disseminate findings to nutritionists and producers. Anticipated Division of Time Research 50% Data analysis 40
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research