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trauma, using advanced epidemiology, multi-sector data linkage, statistical modelling and risk factor estimation.’ The Fellow will also contribute (as a secondary aspect) to aligned programmes within
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 20 days ago
on modeling, simulation and advanced analysis of energy conversion systems. The activities include studying the effects of low-quality power supplies and ripple current on electrolysis systems, developing
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photoelectrocatalysis (PEC) applications. The activity will include integrating light effects into the CFD model by solving the radiation transport equation (RTE) and implementing light attenuation across different
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) of the Digital Industry Center of FBK. The Unit carries out basic and applied research, tool development and technology transfer in the field of formal methods and model-based design for complex embedded
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institutional support services, is reminiscent of the Oxford-Cambridge model. The undergraduate colleges include Pomona College, Scripps College, Claremont McKenna College, Harvey Mudd College, and Pitzer College
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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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and Engineering Sciences at the University of Bonn, Germany, invites applications for a full W3 Professorship for Functional and 3D Modeling of Plants to be filled at the earliest possible date
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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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