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Deep Learning libraries (e.g., Pytorch, Tensorflow, Keras) will be considered a significant advantage; Previous experience in image processing and\or computer vision will be considered an advantage
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high caliber, state-of-the-art research, both basic and applied. A central task is to acquire research funding for the Centre, to provide facilities to the researchers, and to support them to acquire
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competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in
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scienceEducation LevelPhD or equivalent Specific Requirements Position Specific Required Qualifications: PhD in Atmospheric Sciences, Meteorology, or closely related discipline Demonstrated expertise in the field
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Specific Required Qualifications: PhD in Mechanical Engineering/ Optical Engineering / Applied Optics/ Solar Energy Engineering/ Renewable Energy Systems/ Applied Physics/ Thermal Engineering / Thermofluids