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Field
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models
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skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models Experience with Pytorch, MONAI, CUDA or equivalent software
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main campus. Depending on the position, the work will involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. We are currently advertising
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this highly collaborative role, your work will be responsible for developing multi-scale models, spanning from the atomistic to the meso-scale, and performing the simulations that will feed into the model
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of the Solar Atmospheric Modelling Suite (SAMS) a next-generation, modular simulation framework for the solar atmosphere, tackling the chromosphere/corona problem. SAMS is being designed to incorporate world
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these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
simulation tool for modelling hydrogen isotope transport in materials. The role is central to enhancing the scientific reliability and benchmarking capacity of FESTIM in support of fusion fuel cycle modelling
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time
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-access numerical workflows that integrate geochemistry, geochronology and/or thermochronology data to calibrate and evaluate numerical geological analyses and simulations. Dedicate 2 days/week to EarthBank
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. The period of enrolment (admission-completion) in the master's study program must be specified. A complete list of publications (if relevant). For applicants to the PhD fellowship: a copy of the master thesis