47 postdoc-molecular-dynamics-simulation Postdoctoral research jobs at Yale University
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research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have strong quantitative skills and an interest in applying modeling
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into the effects of cannabis and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of
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Associate to join our Clinical Andrology Laboratory. The successful candidate will primarily engage in clinical work while also possessing a solid understanding of advanced molecular techniques
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several NIH-funded studies of LGBTQ-affirmative treatments and mechanisms, as well as community implementation research. The postdoctoral associate would join a dynamic team of faculty, research scientists
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research interests across the full range of disciplines within Earth and planetary sciences, including studies of geophysics, planetary sciences, tectonics, oceans, atmosphere, climate dynamics, geochemistry
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was awarded a NIH K99/R00 Pathway to Independence Award and will be happy to mentor postdocs for their career award application. Our current project can accelerate the development of methods/technologies
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required but will be helpful. The ideal candidate will have an interest in broad career development in a dynamic environment that allows them to develop as a leader in healthcare data science and innovation
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adverse events. We employ intermediate and high throughput molecular profiling platforms to interrogate the blood and tumors of patients receiving immunotherapy. With the breadth of ongoing research
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from clinical research to molecular studies in mouse models of disease. Training/Mentoring: The postdoctoral associate will have the opportunity to gain experience with in clinical and basic research
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responses to mechanical cues. Utilize advanced molecular and imaging techniques to study RNA localization and function. Collaborate within a multidisciplinary team at the intersection of RNA biology and