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Scholar is expected to lead analyses critical to the virome/microbiome research program and to take initiative in contributing to advancing community metabolic modeling in microbiomes, curate under
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
mechanics; experience in one or more of the following areas is highly desirable: non-Newtonian fluid mechanics, interfacial flows, fluid-structure interactions, and constitutive modeling of complex fluids
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. The programme uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and its relationship with clinical outcomes, and to develop and validate prediction models that support
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Research Associate will conduct applied and fundamental research in energy systems engineering, with an emphasis on industrial energy systems, energy management, techno-economic analysis, modeling
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will play a key role in ensuring that these complex data streams are acquired, synchronized, quality-controlled, modeled and interpreted with the highest level of technical and analytical rigor. Main
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the Department of Internal Medicine; plans, designs and executes experiments of considerable scope and complexity in the assigned research lab focusing on Lung fibrosis, senescence, and wound repair; collects and
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: Design and execution of laboratory and pilot-scale experiments for chemical processes Development of phenomenological, thermodynamic, and kinetic models for complex reactive systems Integration
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for immunological tolerance during autoimmunity and transplantation, directed at therapeutic intervention strategies. We are using autoimmune animal models to understand biological processes involved with autoimmune
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multidisciplinary team alongside clinicians and staff specialists who provide practical, real-world insights and expert guidance to support the interpretation and analysis of complex data. Associate Professor Mei
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processes Development of phenomenological, thermodynamic, and kinetic models for complex reactive systems Integration of experimental datasets with modeling and simulation frameworks Dynamic simulation and