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The necessary requirement is a true passion for science and discovery. The ideal candidate should also have at least 1 first-authored publication in press, and have experience working with murine models in a
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science with strong connections to engineering, natural sciences, and industry. About the research project The PRONTO project aims at modeling public transport networks with stochastic partial differential
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research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: Either spatial analysis using GIS or disease modeling in R and/or
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investigates mechanisms of bacterial colonization of hosts using the squid-Vibrio model system using a range of techniques including animal studies, genomics, and molecular biology. Responsibilities will
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synthesis, structured extraction of claims/evidence, reproducible AI-in-the-loop pipelines, or evaluation/verification of model-generated outputs) is preferred. Additional Information Applicants must complete
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Modeling, Musculoskeletal Modeling, Wearable Sensors All offers of employment are contingent upon successful completion of a background check. The University of Oregon is proud to offer a robust benefits
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for device characterization Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Ideal candidates will have experience in one or more of the
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the necessary chemistry and processing modifications to meet target alloy properties. Apply advanced characterization and modeling techniques and make fundamental contributions to the field. Interact with other
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when liaising with collaborative research partners. Your key responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence
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. This position resides in the Multiscale Modeling and Materials by Design (M2MD) Group within the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National