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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
mathematical and computational models of the coupled thermo-fluid dynamics of wind and surface-wave driven shelf-water polynyas in polar oceans. As magnets for biological activity, centers for deep salty water
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of haematopoietic cells are influenced by different microenvironments. To achieve that, we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
17 Mar 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Mathematics » Applied
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Postdoctoral Research Associate ( Job Number: 26000391) Department of Mathematical Sciences Grade 7: - £38,784 to £46,049 per annum Fixed Term - Full Time Contracted Hours per Week: 35 Working
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(AI) or closely related topics in computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a
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disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological information to study biological processes
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facilitated by AI4Research and the Centre for Interdisciplinary Mathematics. The Department of Information Technology holds a leading position in both research and education at all levels. We are currently
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Aalto University, Dept. of Mathematics and Systems analysis Position ID: Aalto-PRA [#28168] Position Title: Position Type: Postdoctoral Position Location: Espoo, Southern Finland 02150, Finland [map
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the direct incorporation of physical laws or constraints into the neural network training process. To achieve our goal, we will conduct analysis of several surface water management scenarios in different