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Field
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survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic epidemiology and
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 month ago
. Application Deadline 7/29/2025 11:59:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students
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written), time management, project management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention
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Job Type/Hours per Week Full Time Hiring Department Biomedical Research – Section 7 Location UT Tyler Health Science Center Required Application Materials A single PDF or Word document containing a
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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the Foundational Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position provides an opportunity for excellent
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a doctoral degree in electrical engineering, physics, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a
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year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not require teaching, but it may be possible to get teaching
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Type: Fellowship Organization Type: Higher Education Institution The Program on Corporate Governance at Harvard Law School (HLS) is pleased to announce that it is seeking applications from highly
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DLL3. Dr. Zhang received her Ph.D. in Cell Biology from Yale University and her M.S. in Computer Science from Stanford University. She finished her postdoctoral training at the University of California