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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar - Global modeling of riverine sediment connectivity and human alterations (JPF03130) Postdoctoral Scholar - Global modeling
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
interest groups from publicly available sources, data analysis, hypothesis formulation, and mathematical modelling of political, psychological, and financial forces that shape human behaviour. Key questions
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11 Aug 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Medical sciences Medical sciences Mathematics Researcher Profile Recognised Researcher
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mathematical models, writing scientific papers in collaboration with the project group and external collaborators, and presenting research result at seminars and conferences. Your profile In order to qualify
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 19 hours ago
. The researcher will gain an educational experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
-depth experience with modelling approaches, taking into account small sample sizes and repeated measures designs, as well as unbalanced data sets with missing values and categorical variables. Furthermore
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Work with leading researchers in statistics and bioinformatics to develop innovative
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of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
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prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational