30 modeling-and-simulation-"UNIVERSITY-OF-SOUTHAMPTON" Postdoctoral positions at Yale University
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, cellular biology and signaling, and mouse models of disease, enhancing our understanding of how the allosteric site influences physiology and disease mechanisms. We plan to utilize drug discovery to identify
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in immunology and / or cancer biology research and the development of new cancer therapies. Experience with in vivo immunotherapy models, mRNA therapeutics, functional genomics and the use of CRISPR
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models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply
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a particular focus on cytokine-based drugs, using immune competent murine models and human cell culture systems for early drug development. We also study mechanisms and determinants of immune related
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for hearing loss in mouse models. Experiences on molecular & cellular biology, biochemistry, or AD research are preferred. Preferred qualifications also include but not limit mobility and ability to work
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, molecular virology, mRNA vaccines, and animal models of infection and disease in the BSL2 and BSL3 labs. We are interested in identifying the signals that promote lasting and potent immune memory within
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should submit a copy of their CV; a cover letter detailing research interests, relevant experience, and professional goals; and the contact information of three professional references. For additional
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, artificial neural network models, evaluation of individualized predictions or estimates for individuals with diverse backgrounds, and promotion of health equity using AI models. The Postdoctoral Associate will
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multilevel modeling Prior experience with passive sensing and experience sampling methodology Strong interpersonal and organizational skills Eagerness to gain expertise in youth suicide risk assessment and
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, microvascular function, cognition, or COVID-19. Candidates with advanced quantitative data analytic skills, including computational modeling, are particularly encouraged to apply. Familiarity with medical