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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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Dispersion – Inverse Model (EURAD-IM). The PhD project will be conducted in the atmospheric modeling group of the Institute of Climate and Energy Systems (ICE-3) at Forschungszentrum Jülich and the
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) as a user facility for the U.S. Department of Energy Office of Science (DOE-SC), supporting the mission of the DOE-SC Office of Nuclear Physics. FRIB provides researchers with one of the most advanced
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number variations, are major risk factors for adverse mental health outcomes. Beyond their clinical importance, they provide powerful human models for uncovering multiscale genetic mechanisms in psychiatry
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Motor Researcher for the Mechanical Systems Modeling (MSM) Group. The Senior Electric Motor Researcher will perform analysis on electric motors and motor drive systems for gas centrifuges. In addition
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t
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, minimally, in animal models. Working closely with Professor Svetlana Reilly and members of the research group, you will be involved with studies of the role of calcitonin and calcitonin receptor signalling
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contribute to an interdisciplinary collaboration focused on building construction to improve affordability, productivity, energy efficiency, and resilience. The candidate will be part of the UT-Oak Ridge
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the RNA NPs formulations are evaluated in in vitro cell systems (cell lines and primary cells). The RNA NP formulation will be delivered orally in a device engineered to achieve site-specific intestinal