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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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how perishable biological products react inside cold chain unit operations and to pinpoint why some products decay faster. For that purpose, we develop digital twins of the cargo, based on measured air
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
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to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
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100%, Zurich, fixed-term The research group for Chemical Biology and Molecular Imaging (Frei Research Group ) at ETH Zurich is looking for a doctoral researcher to develop chemistry inspired tools
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at Empa in Dübendorf drives innovations in joining technologies and corrosion management to enable evolution towards increasingly efficient, reliable and sustainable material technologies. Joining
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aiming to improve the management of infected wounds. Our group is focused on: i) Developing novel fluorescent-based detection approaches for the continuous monitoring of wound healing. ii) Achieving
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from this research inform the development of new diagnostics, treatments, and vaccines against malaria, tuberculosis, schistosomiasis, Chagas and other neglected tropical diseases. Within the Parasite
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general area of control & dynamical systems with application to mobility. Project background The candidate will work on the “Efficient Safe Train Dynamics” (ESTRA) project, in collaboration with Prof
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. The acquired and already existing database will be used to further develop ML models for the automated detection of clinically relevant markers. The goal is to develop the technique towards potential clinical