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Computational Spatial Biology We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford
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into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine and the Master's programme in
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a good knowledge of statistical mechanics, good English communication skills and experience with all-atom or coarse-grained molecular simulations. The candidate should be comfortable with programming
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managers, because we deem it important to conduct applied research that is useful for managers. We also thrive on collaboration, especially interdisciplinary collaboration across fields like computer
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postdoctoral fellow to join our research team focused on studying the metabolic and molecular mechanism of human pregnancy and its related complications using cutting-edge biological techniques. Characteristics
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mechanisms as part of the Plant-Microbe Interfaces (PMI) Scientific Focus Area project (https://pmiweb.ornl.gov/ ). The Plant Systems Biology Group investigates how plant and microbial genes, proteins
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of the lab. Position will conduct postdoctoral research related to the overall goals of the Silver lab to understand mechanisms of brain development, disease and evolution. DEFINITION: The Postdoctoral
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to conduct research under Dr. Clare Casteel's guidance, on the ecological, chemical, and the molecular mechanisms that mediate in soil-microbe-plant-insect interactions in Ithaca, NY. Specific duties will
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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tumor spatial biology via single cell spatial analysis of the tumor microenvironment. Projects aim to reveal molecular mechanisms of drug resistance based on intercellular and intracellular regulation