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. Empa is a research institution of the ETH Domain. Our group focusses on the development of carbon-based (thermo)electric nanoscale devices and their application for quantum technologies and energy
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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of the optimal cooling technology. Integrate these digital twins into other platforms, such as mobile applications. Extend the digital twin work for heat stress predictions of humans to assess
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Your position The successful applicant will work under the supervision of the Principal Investigator (Prof. Dr. Maria Katapodi) and collaborate with members of the CASCADE Consortium, a