342 process-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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, oxygen) Use these process-related insights to develop data-driven models to predict water quality under climate change Publish your results in scientific journals and present them at national and
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group is dedicated to investigating human cognition and learning processes. We conduct theory-driven research about how people learn and how to develop learning environments to better support learning
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to work experimentally characterization of the thermophysical
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to work on the new generation of prediction methods for the complex
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, and alignment between the processes and measures used to assess it. The Quality of Education Framework project brings these strands together into a single framework with a common core and adaptable
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration is set for
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100%, Zurich, fixed-term At the Center for AI Value, part of the Technology Marketing Group at ETH Zurich, we investigate how organisations can turn generative and multimodal AI into measurable