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computational approaches. See our lab web page ( https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD
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areas such as systems biology, stem cell/developmental biology, biophysics, computational genomics, microfluidics, or related fields. Additional Qualifications Special Instructions Required documents
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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology . Our community IMPRS-ML brings together two renowned Max Planck Institutes
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
. REQUIRED QUALIFICATIONS: •Ph.D. (or imminent defense) in Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field
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>biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
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with Dr. Tsung-Megason to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out bench and computational research, the successful candidate
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biological membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related
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Biophysics, invites applicants for a PhD fellowship in the physics of biomolecular condensates and dynamical protein concentrations. The project is part of the research project PHOSCIL, financed by a
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researcher in the field of protein-nucleic acid hybrid materials We are seeking a doctoral researcher to join a Research Council of Finland-funded project ( https://research.fi/en/results/funding/88763
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, focusing on the study of odorant receptors in arthropods like mosquitos. Using an interdisciplinary range of approaches such as cryo-electron microscopy (cryo-EM), electrophysiology, computational modeling