49 computer-programmer-"Edge-Hill-University" Postdoctoral positions at Yale University
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disorder, suicidality, substance use disorders, depression and anxiety, and many related psychiatric traits. We have work based in the uniquely-informative Million Veteran Program dataset, and also make use
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, quantum information science and related fields (non-equilibrium dynamics, quantum simulation with tensor networks, etc.). A Ph.D. in Physics or a closely related field is required. The initial appointment
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biology lab that is focused on utilizing genetic approaches to understand and exploit resistance mechanisms to DNA damage. Our research program has a particular interest in studying the interplay between
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translational cancer biology research program has helped postdoctoral fellows obtain outstanding career positions in industry and in academia. The Stites lab investigates problems in cancer biology and in cancer
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letters of recommendation. For questions, contact Joanna Carmona, Program Manager at Joanna.carmona@yale.edu
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School of Medicine. We develop and apply innovative experimental and computational approaches to study cellular heterogeneity and its impact on tissue function in health and disease. Our interdisciplinary
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inflammation, multiparameter flow cytometry, and bioinformatics/computational biology is desired. Please send curriculum vitae, three names of reference and a one-page summary of research background and
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Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University Title: Postdoctoral Associate, Yale School of Medicine Department/Division: Radiology and Biomedical Imaging, Bioimaging Sciences Position Description: Join an exciting effort to develop a low-field, low-cost, MRI...
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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high impact careers in biomedical research. This is an opportunity for a highly motivated individual with a background in population genetics, computational biology, or a related area. Candidates with