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operates at the intersection of computer science, civil engineering, and architecture. Your responsibilities will include the development of both theoretical concepts and practical tools for the construction
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? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral researcher (PhD Position) in Computer Science: Mental Resilience in
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at the intersection of data, behavioral, and computer science draws on data from real-world and experimental settings. Examples of our previous projects can be found by visiting our website here . Project background In
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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
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information science, focusing on spin qubits and hybrid superconducting-semiconductor quantum devices. This position is offered in a shared initiative between the laboratories of Prof. Wallraff and Prof. Scarlino
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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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of experimental quantum information science, focusing on spin qubits and hybrid superconducting-semiconductor quantum devices. This position is offered in a shared initiative between the laboratories of Prof
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range of research groups and institutes across different faculties. The position is offered in the Department of Mathematics and Computer Science. About IBM Research - Zurich: The IBM Research Laboratory
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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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Bachelor’s and Master’s students in related subjects.Offer- A team with strong emphasis on quantitative yet applied research.- The opportunity to complete a PhD in Computer Science or Management and Economics