20 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Harvard University
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candidates with backgrounds in microbiology and molecular biology. Applicants will benefit directly from the interdisciplinary core facilities at the Rowland Institute at Harvard and will be encouraged
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position in the Shi Lab at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab’s primary focus is on uncovering the molecular mechanisms that drive brain aging and neurodegenerative
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computational and systems biology approaches to analysis of single-cell RNA-sequencing data. These datasets derive from samples of human lungs, and also from mouse models of airway injury, inflammation and
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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inaccessible regimes. Work in the lab combines optics, protein engineering, chemistry, electrophysiology, simulation, and theory. We work at the levels of individual molecules, single cells, and whole
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, and light scattering) with modeling of light transport. The postdoc will primarily work on the experimental studies but will also have the opportunity to participate in computational and analytical
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other components in the food formulation determine the color. The project combines experimental characterization (spectroscopy, microscopy, and light scattering) with modeling of light transport
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candidates with backgrounds in microbiology and molecular biology. Applicants will benefit directly from the interdisciplinary core facilities at the Rowland Institute at Harvard and will be encouraged
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing