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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology
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Models: Perform microsurgeries and longitudinal studies using small animal models of myocardial infarction or heart failure to evaluate therapeutic outcomes. Data Acquisition: Utilize advanced imaging (e.g
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SUSMAT - Post-Doctoral Fellow Positions in Development of Multifunctional Hydrogels for Agricultural
environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its
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. The successful candidate will contribute to cutting-edge research in the modeling, design, fabrication, characterization, and system integration of MEMS quartz resonators for next-generation precision micro
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. This candidate will also have the opportunity to develop and test potential therapies to treat cognitive, motor and/or mood deficits using preclinical rodent models of stroke and/or dementia. The candidate will be
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University Tandon School of Engineering The Taylor Research Group at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work in advanced materials synthesis and electrochemical
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About the Opportunity AI-Driven Ultrasound and Intelligent Sensing: We are seeking a postdoctoral researcher to work on quantitative ultrasound methods, focusing on the application of model-based
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and