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Field
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. Through the Sustainability Leadership Program , Fellows join a cohort of early career scholars that receives curated support in science communication, strategic career planning, and collaborative leadership
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-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please
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guidance for computational modeling of the data Publish research in peer-reviewed journals and present work at scientific conferences aligned with business objectives Demonstrate a high degree of
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on innovative design for legal and regulatory systems for AI and other complex global technologies; computational models of human normative systems; and working with machine learning researchers to build ML
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of engineered tendon models Quantify and analyze inflammatory signaling in tendon fibroblasts Investigate ECM stiffness effects on cellular behavior and gene expression Develop fluorescent reporter systems
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. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
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science, engineering, mathematical physics, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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to healthier, cleaner, more efficient future for all. A research collaboration is being funded by the Energy and Environment Solutions (E2S) program of the Universite de Pau et des Pays de l’Adour (UPPA) and
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Postdoctoral Research Fellow in Cardiovascular Physiology and Immunology Yale School of Medicine Vascular Biology & Therapeutics Program Department of Comparative Medicine New Haven, Connecticut