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(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
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Lehigh University, Mathematics Position ID: Lehigh-POSTDOC1YU2025 [#27625] Position Title: Position Type: Postdoctoral Position Location: Bethlehem, Pennsylvania 18015, United States of America [map
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and Dr. Shang-Min Tsai, respectively. The initial appointment for both positions is for two years, with flexible start date in 2026 and possible extension for two more years depending on performance
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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. Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 992 Work location: Rostock Join the Cluster of Excellence “BlueMat: Water-Driven Materials” (www.tuhh.de/bluemat
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mathematics or a related field strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong
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in probability, stochastic analysis, and optimization. Applicants with knowledge in machine learning, as well as a track record of publications in top Actuarial Science, Mathematical Finance
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: Analysis, Numerical Analysis, and Scientific Computing (ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA). - main mission
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of renewal subject to satisfactory performance and funding availability. Applicants should hold a Ph.D. degree in Mathematics, Statistics, Actuarial Science, Mathematical Finance, Quantitative Risk Management