4,259 phd-mathematical-modelling "INSAIT The Institute for Computer Science" Postdoctoral positions
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University of Copenhagen, Dept of Mathematical Sciences Position ID: 821 -PD2025 [#26843] Position Title: Position Type: Postdoctoral Position Location: Copenhagen, Copenhagen 2100, Denmark [map
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-borne diseases modeling. The ideal candidate should have 1) a strong background in applied mathematical sciences, computer science, or any other quantitative field, 2) experience with population biology
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Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected
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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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under the supervision of faculty on infectious disease-related epidemiological, statistical, and mathematical modeling research projects that will lead to the submission of grant proposals and publication
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, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You will also develop skills in mathematical modelling and spatial analysis
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, item 1571, consolidated text). At the moment of employment, the candidate must hold a PhD degree in mathematics or related fields. The degree must be obtained no earlier than 7 years before the year of
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wastewater to tackle the environmental threat of AMR. You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing
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motivated and talented postdoctoral researcher to join our team to develop a novel GPT-like system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend
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, Fisheries Science, Biology, Zoology, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong