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Field
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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Postdoc: Subsurface Freshwater Storage and Groundwater Modelling Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8
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interdisciplinary projects to accelerate geoscientific research by building an open science community and services for biomarker researchers and by building and using lake model emulators. The postdoc will lead the
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directly test model predictions. Where to apply Website https://www.academictransfer.com/en/jobs/364063/postdoc-position-in-ai-foundati… Requirements Specific Requirements We are looking for a postdoctoral
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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electrochemical Reactors The Department of Mechanical and Production Engineering (MPE) at Aarhus University
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local
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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of
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; developing hydrodynamical simulations of stellar interactions with massive black holes and connecting them with stellar-evolution calculations; modelling the gravitational-wave/electromagnetic signals of star