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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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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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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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into solid phases of marine snow. You will test the performance of your model by simulating experimental and field data in collaboration with the PHOSFLUX PhD student. Your qualities We are looking for a
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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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consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ and remote sensing data from
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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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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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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