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motivated and skilled postdoctoral fellow to join a project focused on developing statistical models to understand the spatiotemporal distribution of marine mammals in the Arctic. The project will help
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, manuscripts, and reports in collaboration with the research team. QUALIFICATIONS Successful applicants will have: Completed a PhD within 5 years in a relevant discipline (e.g. public health, sociology
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applications for a one-year Postdoctoral Fellow (with possibility of extension) to support an occupational hygiene research program in exposure and risk assessment under the supervision of Professor Hugh W
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multi-disciplinary team of researchers, and will be expected to participate in other projects to ensure a well-rounded post-doctoral training. Education PhD in Computer Engineering, Computer Science, or a
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Work arrangements: Due to the nature of the work and operational requirements, this position will require full-time physical presence at the at the NRC work location identified. The program The NRC’s
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The L’Oréal USA Fellowships for Women in Science program is a national awards program that annually recognizes and rewards five U.S.-based women researchers at the beginning of their scientific
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NIFA supports research, educational, and extension efforts in a wide range of scientific fields related to agricultural and behavioral sciences. In all of these areas, you will find NIFA working in pursuit of our vision. To address contemporary agricultural challenges, we seek to catalyze...
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Hiring team using the contact information below. The program The NRC’s Postdoctoral Fellowship program offers PDFs access to unique world-class facilities and the opportunity to work alongside multi
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PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water Electrolysis
operational requirements, this position will require full-time physical presence at the at the NRC work location identified. The program The NRC’s Postdoctoral Fellowship program offers PDFs access to unique
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in the laboratory QUALIFICATIONS Successful applicants will have: PhD with expertise in cancer biology, proteomics and/or computational biology / machine learning A proven track record with first