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in the Mathematical Institute (https://www.maths.ox.ac.uk/groups/mathematical-biology/infectious-disease-modelling ). The postdoctoral researchers will develop data-driven mathematical models and
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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Areas: Biology Computational Science Interdisciplinary Mathematical and Information Science Appl Deadline: (posted 2025/06/22, updated 2025/06/11, listed until 2026/01/01) Position Description: Apply
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Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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of Mathematics at the Hebrew University of Jerusalem is soliciting applications for postdoctoral positions, to be hosted by one of the faculty members listed below. Candidates must hold a PhD in mathematics, or
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
, Canada [map ] Subject Areas: Mathematics, Fisheries Management, Cell Migration Appl Deadline: 2025/05/30 11:59PM * (posted 2025/04/10, listed until 2025/05/30) Position Description: Apply Position
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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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research proposal (see the list (1)-(7) in the [Laboratory] section above), and are encouraged to list more than one laboratory. Applicants’ research projects will be one of: (1) Mathematical basic research
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The