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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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NSF-funded project on understanding tremor propagation (TP) in the human upper limb through advanced musculoskeletal modeling, muscle fatigue modeling, and simulation of tremor-suppression devices
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(transcript of records), a copy of your Master thesis (or a draft thereof), published articles or other relevant material such as letter(s) of recommendation (if applicable). Our Offer: We work on the very
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eligible for initial clearance at Oak Ridge National Laboratory. Application materials must be submitted to Interfolio at https://apply.interfolio.com/178934 Application reviews will begin immediately and
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factors, using selected statistical–econometric tools, such as Generalized Additive Models and the Generalized Method of Moments analysis and interpretation of existing methods of estimating the costs
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for enhanced flood mitigation in coastal environments. In particular, we will consider metamaterials of various shapes, materials and textures and model their interaction with the upcoming waves. In the end
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NSF-funded project on understanding tremor propagation (TP) in the human upper limb through advanced musculoskeletal modeling, muscle fatigue modeling, and simulation of tremor-suppression devices
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of Minnesota. U-Spatial is a nationally recognized model that provides consulting services and drives a fast-growing need for expertise in Geographic Information Systems (GIS), Geographic Information Science
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candidate will be considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html ). For further