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Field
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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, Environmental Science, or a closely related field is required. Demonstrated experience in computational modeling, data analysis, or social science research relevant to environmental systems or infrastructure is
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Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in Economics with fields of research in Macroeconomics or Computational
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and its applications. Qualifications: Ph.D. in biomechanics, engineering, computer science, or a related discipline. Proficiency in programming languages commonly used in scientific research, such as
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: 277839324 Position: Postdoctoral Research Associate Description: The Department of Molecular Biology at Princeton University currently has research positions available at the postdoctoral and more senior
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about
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Previous Job Job Title Post-Doctoral Associate - Department of Integrative Biology and Physiology Next Job Apply for Job Job ID 370439 Location Twin Cities Job Family Academic Full/Part Time Full
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enduring impact in the areas of science, environmental conservation and patient care. Visit Moore.org or follow @MooreFound. The foundation's $185-million EPiQS initiative promotes discovery-driven research
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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, biostatistics, computational biology, or a related field. A strong computational background and expertise in dealing with large datasets, including multi-omics and ideally CGM. Prior experience in machine