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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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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
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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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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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an exceptional opportunity to join a collaborative, multidisciplinary research program dedicated to advancing next-generation malaria vaccines while providing outstanding scientific mentorship and career
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Center of Excellence for Rapid Surveillance of Tobacco, the Tobacco Dependence Program, a Tobacco Industry Marketing Program, and a Tobacco Control Law & Policy Resource Center. Posting Summary Rutgers is
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computational approaches — from coarse-grained elastic network models (ANM/GNM) to atomistic and enhanced-sampling molecular dynamics and machine learning/AI methods — to understand how biomolecules achieve
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advanced computational models; and Related topics in indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled laboratory experiments, measurements in real
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2 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 17 May 2027 Is the job funded through the EU Research Framework Programme
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journals. A desire to perform and experience in aspects of field monitoring, laboratory experiments, and computational modeling on stormwater systems is critical. There is an expectation of external