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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
population research. Position Summary This Postdoctoral Trainee position is available through a NIH T32 training program, designed to train promising early career investigators. The Postdoctoral Trainee will
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New York University Shanghai, Physics Position ID: New York University Shanghai -Physics -POSTDOC [#29455] Position Title: Position Location: Shanghai, Shanghai 200122, China [map ] Subject Area
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subdisciplines including computational chemistry, organometallic chemistry, materials chemistry and forensic science, to name only a few. We have a full line of degree programs in chemistry education that
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on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political
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Areas: Physics / Theoretical Physics Quantum Information Science Quantum Computing Numerical Modeling Quantum Condensed Matter Theory (more...) Physics/Condensed matter theory Appl Deadline: filled
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interests include flow of soft materials, non-equilibrium dynamics, dynamics of soft glasses, statistical physics of yielding, shear thickening of dense suspensions, phase behaviour, self-assembly, fluid
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Associate will work closely with Dr. Salter (PI) and be involved in all aspects of the research process. Research conducted within SPARCL will focus on the bi-directional relationships between collective