73 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Rutgers University
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have strong programming skills and experience analyzing/modeling the results of human subject experiments. City: Piscataway State: NJ Location: Busch (RU-New Brunswick) Create a Job Match for Similar
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Qualifications Minimum Education and Experience PhD degree in Neuroscience or related field required with a strong publication record, and a minimum of one year experience in at least two of the following 1
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ecological momentary assessment approaches, alongside multimodal data sources, to better understand the mechanisms underlying both healthy and pathological aging. This position provides an opportunity
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ecological momentary assessment approaches, alongside multimodal data sources, to better understand the mechanisms underlying both healthy and pathological aging. This position provides an opportunity
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candidate will work at the forefront of exoplanet research and will have the opportunities to extract scientific results from multiple JWST programs, develop and apply advanced atmospheric and surface models
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, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing
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independently. Among the key duties of this position are the following: Designs, discusses, and performs diverse experimental models and techniques related to the study of innate cells. Contributes to general
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the mechanisms driving mitochondria to dysfunction and failure in neurodegeneration and aging, using cellular models. Successful candidates will participate in the initiation of the different research projects
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projects that characterize the toxicological effects of emerging environmental pollutants using advanced cellular and animal models. Rutgers NAMC is known for its transdisciplinary research on particle
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches