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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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imaging and image analysis, biochemical, as well as molecular biology approaches. Performs perfusion, cryosectioning, immunocytochemistry approaches, stereological counting and Matlabbased automated image
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models of Usher syndrome. It will leverage a unique set of humanized mouse models reproducing patient mutations, including newly developed conditional models with delayed sensory phenotypes, enabling
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models of tuberculosis (TB). The lab couples Mycobacterium marinum, a close genetic relative of M. tuberculosis which causes TB-like disease in fish, with transparent and genetically tractable fish species
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Employer https://main.hercjobs.org/jobs/22174438/assistant-associate-full-project-scientist-machine-learning-data-analytics-advanced-bioimaging-center-department-of-molecular-and-cell-biology Return
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of Artificial intelligence for De-Novo molecular design Machine learning/Neuronal networks to develop novel drug discovery tools Molecular modeling and simulation Theoretical biophysical medicinal chemistry Deep
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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by completing a four-year college degree program in biology, molecular biology, neuroscience, biochemistry or other related science fields; one to three years of related and progressively more
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role areas are: Developing and applying advanced molecular thermodynamic theories and models for water and electrolyte systems relevant to energy, materials, environmental, and biological applications
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel