1,378 systems-science-"https:"-"https:"-"https:"-"https:"-"I.E" Postdoctoral positions in United States
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 26 days ago
/Administrative Internal Number: 25553 POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center, to join an MIT team in collaboration with the Princeton Plasma Physics Laboratory to operate x-ray diagnostics
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informatics-driven educational innovations. Integrate large-scale educational and clinical datasets into AI-driven learning systems to improve decision-making and training efficacy using best practices in
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. The successful candidate will be a key contributor to a multidisciplinary co-design team spanning material science, computing, and electronic engineering, with the goal of enabling next-generation detector
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Engineering Department 140401 - Electrical & Computer Engineering Job City & State Raleigh, NC- 27606
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The Department of Biotechnology and Food Science, Institute of Food Technology is currently seeking a Postdoctoral Research Associate (Reference code 14) Extent of employment: 40 hours per week
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, written, and oral communication skills. Experience with molten salt systems, actinide chemistry, or electrochemistry is desired, but not mandatory. Experience working safely with hazardous materials in
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Job Description Apply now Job Title: Postdoctoral Associate Division: Neurology Work Arrangement: Hybrid Location: Houston, TX Salary Range: $62,232 FLSA Status: Exempt Work Schedule: Monday
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simulations. The candidate is expected to work as part of a collaborative team of chemists, physicists, and engineers to develop new chemistry for upgrading hydrocarbon streams. The candidate should be
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Postdoctoral Associate - EEB - Angrawal Lab The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines
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to a multidisciplinary program exploring drivers and seasonality of WNV in a multi-species system. They will write code, use models and other quantitative or statistical analyses within life science