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conferences.Requirements:- Passion about working at the intersection of mechanics and machine learning.- Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or
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scientific and industry partners. You will support our PhD students, publish in scientific journals, and participate in conferences. Your tasks Design and implement digital twins for district energy systems
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the intersection of mechanics and machine learning. - Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or related areas. - Background in computational
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be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical