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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Mathematics Physics Management Science & Engineering Computer Science and Electrical Engineering (more...) Operations
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
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Develop automation tools to streamline research and system development Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior Partner with
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number of projects involving large complexes involved in protein-nucleic acid processes, with a particular focus on proteins and complexes important in microbial pathogenesis. Specific responsibilities
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independently *Candidates with a PhD in other disciplines may be eligible if they can demonstrate exceptional problem-solving skills and deep expertise in the development of complex computational models
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technology spaces can foster embodied and epistemic engagement with scientific practices – helping students not only understand complex concepts and procedures in the short term, but also develop deeper
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ASTRONOMY (BL-AST-IUBLA) Astronomy has a long history at Indiana University, beginning in 1856 with Daniel Kirkwood. The department was founded in 1895. Our doctoral program has produced over 100