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Zurich translates the science of materials processing into societally impactful technologies through student entrepreneurship and interdisciplinary collaboration. For this research project in partnership
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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. Empa is a research institution of the ETH Domain. The Laboratory Chemical Energy Carriers and Vehicle Systems Laboratory conducts, develops and optimizes processes for renewable fuels. The group
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that provides research-oriented medical students and physicians with the opportunity to carry out fundamental biological research. Our selection process is based on written applications and in-person
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models to the design of sustainable processes in chemical engineering. To bridge the scale from molecules to processes, we apply state-of-the art mathematical concepts and tools combined with highly
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through the electronic application process. Each recommendation consists of two elements: A form to be filled out by the referee An additional letter with the referee’s comments Your referees
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, antibiotic resistance genes, VOCs and PFAs. Investigations on electrode materials, manufacturing processes, signal amplification and modulation are underway. We strive to strengthen environmental applications
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joining the team? ETH Zürich is one of Europe’s foremost technical universities, located in the heart of Switzerland. The PhD candidate will be positioned at the Department of Mechanical and Process
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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-climate interactions. For this purpose, it has developed its own dedicated global model SOCOL, which can interactively treat all processes and major feedbacks related to the ozone layer and atmospheric