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methods that trigger and trap dynamic protein motions in real time. Integrating structural, electrophysiological, thermodynamic, and computational approaches into quantitative models of protein dynamics
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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under the guidance of the principal investigator. Projects will involve work with animal model and human patient sample experiments to investigate immune function in cell therapy and hematopoietic stem
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neurodevelopmental disorders. The successful candidate will develop and apply experimental and computational approaches to understand gene regulation and disease mechanisms in neural development and to evaluate
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-disciplinary approach spanning human genetics, computational biology, genomics, genetics, pharmacology, and biochemistry. By integrating human population-scale data with experimentally tractable model systems
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data beyond the application of established pipelines OR experience developing mathematical or statistical models of biological systems. ● A record of publishing computational biology (broadly defined
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19 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Computer science » Informatics Computer science » Other Engineering » Electrical engineering Engineering
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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satisfactory performance and the availability of funding. The successful candidate will work with Dr. Yulong Lu on research projects related to the mathematical and computational foundations of generative