11 programming-"https:"-"https:"-"https:"-"OSU" Postdoctoral positions at Utrecht University
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-year postdoc project, funded by an NWO Open Competition Large grant, will be conducted in the Developmental Psychology Program at Utrecht University. Your job Today’s young people are coming of age in a
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’. The project is part of the Horizon funded programme ‘Reimagining Work and Care: Gender Equality, Couple Dynamics, and Policy Innovation in Europe (REWORC), led by King’s College London and with partners from
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highly motivated postdoctoral candidate with a background in biogeochemical modelling. You must have successfully completed a PhD programme in Earth Sciences, Environmental Sciences, Biology or a related
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science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
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Geography, and Sustainable Development. The Department of Human Geography and Spatial Planning runs the ‘Urban Futures’ research programme, in which faculty from different human geography and spatial planning
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European workplaces and gender (in)equality’. The project is part of the Horizon funded programme ‘Reimagining Work and Care: Gender Equality, Couple Dynamics, and Policy Innovation in Europe (REWORC), led
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related field. You have a strong background in numerical modelling and programming (preferably Python). You will collaborate with colleagues who are AeoLiS and CFD specialists, so affinity with
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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of groundwater-model concepts and parameters, calibration, sensitivity analysis, scenario analysis and uncertainty assessment. Programming and data-analysis skills in a reproducible scientific workflow