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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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, with the goal of improving scientific understanding of flow patterns shape ecological function in stream riparian ecosystems. https://www.lifesci.tohoku.ac.jp/research/fields/laboratory.html?id=454
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to a graduate
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Engineering and Geomatics in the field of “Land Use Modelling for Sustainable Urban Planning”. ** According to the European Framework for Research Careers Applicants should have: For the position of Post
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currently issues Pollution Risk Forecasts based on statistical models, however, these models often fail to capture key pollution sources such as combined sewer overflows, leading to frequent inaccuracies and
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students. The APC has significant interest in intestinal inflammatory diseases, understanding its pathogenesis and discovering new treatments. We are currently recruiting a research assistant to work under a
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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research outcomes will set you apart. A degree in Chemistry, Biochemistry, Pharmacology, or a related field (or equivalent experience). Demonstrated experience in molecular modelling, simulations, and
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Management Science, Information Systems Research, and MIS Quarterly. We seek applicants with a strong quantitative background, such as analytical modeling, econometrics, and/or machine learning, and a
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reconstruction methods to generate as-built building models for the detection of dimensional deviations, installation errors, or design compliance issues. Research into using robotics for automated, repeatable