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: 277911948 Position: Postdoctoral Research Associate, Princeton Quantum Initiative Description: The Princeton Quantum Initiative seeks outstanding applicants for our postdoctoral fellowship program
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research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and
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the effects of high-salt diets on kidney metabolism, energy production, and oxygen utilization in both normal and salt-sensitive hypertension. Fellows will create and follow an individualized development plan
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Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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). The beautiful climate and extensive nearby parks and recreational areas afford year-round outdoor activities, including hiking, biking, and nature photography. UF’s large college sports programs, museums, and
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academic unit of the College of Science and Engineering that administers biomedical engineering degree programs at all levels (bachelor's, master's, and doctoral). While research possibilities among
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program. By incorporating the latest technologies and research methodologies, we aim to revolutionize biomechanics and profoundly impact human health, sports performance, and industrial processes
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. The successful candidate will also have scientific curiosity, be highly motivated, be a team player, and have the ability to work and think independently. Job Duties and Responsibilities 80% Research: • Lead, plan
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data