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bioengineering; and involves multiple collaborations. The role will involve microfabrication, device assembly, in vitro prototyping, and preclinical evaluation in rodent and swine models. In addition, the person
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artificial intelligence and mathematical modeling, to study behaviors affecting individuals with disabilities such as behavioral relapse and self-injurious behavior. This position does not require a background
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models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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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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of Engineering and Physical Sciences, recognising excellence in championing employment of women in the field of science, technology, engineering, and mathematics. We offer a range of family friendly, inclusive
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championing employment of women in the field of science, technology, engineering, and mathematics. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff
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are developed that prioritize interpretability and reduce data dependency by imposing desirable constraints on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and