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Field
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enhancement Profile Master's degree in engineering, physics, applied mathematics, computer science, or closely related field Strong background in mathematics and machine learning Programming proficiency in
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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information about the Energy and Technology Policy Group can be found on our Website . Questions regarding the position should be directed to Prof. Tobias Schmidt, [email protected] (no applications
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Engineering, has an opening for a PhD student. This position focuses on developing intervention effectiveness analysis methodologies to support urban road safety as a part of a larger EU project. The new EU
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questions related to the resilience of global supply chains to climate change. The doctorate will be conducted within the doctoral program of D-MTEC (Department of Management, Technology, and Economics) and
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products Profile MSc in natural science or computational science and preferably a PhD in meteorology, climatology, environmental science, or a closely related field Excellent programming skills in R and/or
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well-being. DEPOPLAND is highly interdisciplinary, bringing together expertise from landscape ecology, physical and human geography, land system science, and computational linguistics. The project is
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Engineering or the Department of Mathematics, depending on the candidate’s background and preferences The starting date is flexible but an early start is preferred Profile The successful candidate is expected
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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100%, Zurich, fixed-term The Ultrafast Spectroscopy and Attosecond Science group at the Laboratory of Physical Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich develops