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user and stakeholder engagement. The candidate will be embedded in a multidisciplinary research environment combining expertise in machine learning (ML), numerical modelling, satellite remote sensing
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Schildt/NHM 8th April 2026 Languages English English English Natural History Museum Postdoctoral Researcher in Spatial Ecological Modeling and Interdisciplinary Biodiversity Science Apply for this job See
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Ulla Schildt/NHM 8th April 2026 Languages English English English Natural History Museum Postdoctoral Researcher in Spatial Ecological Modeling and Interdisciplinary Biodiversity Science Apply
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will be one of four recruitment positions in BioM filled simultaneously (parallel hires: 2 PhD fellows, in population ecology and statistics, and a postdoctoral fellow in spatial ecological modeling
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computational modeling. The postdoctoral candidate will: Analyze quantitative molecular and imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory
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that will develop and analyse computational models for electricity markets, the power system and hydro power scheduling. The position will be affiliated with the ENE Centre at the Department of Business
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contribute to a project that will develop and analyse computational models for electricity markets, the power system and hydro power scheduling. The position will be affiliated with the ENE Centre at the
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. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models
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connection with the research project GROOVE: Mapping, Modeling, and Perceiving the Combinatorics of Groove-based Rhythms, funded by the Research Council of Norway. The project is affiliated with RITMO Centre
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highly relevant for the candidate. The project combines experimental and computational approaches to dissect transcriptional dependencies and regulatory networks in clinically relevant model systems. We