175 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at ETH Zurich
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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functionality, offering key information to enhance the efficiency and performance of ferroic materials. We are particularly excited to explore ferroic phase transitions and the emergence of complex configurations
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establish (semi-)quantitative polymer structure–adsorption relationships by linking polymer and sorbent properties to experimentally collected adsorption and desorption data. Specific tasks include: Conduct
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and BS degrees Contact information of 3 references Applications will be accepted until December 31, 2025. Please note that we exclusively accept applications submitted through our online application
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CAD packages (Autodesk Revit, Archicad and cadwork3d) and work in a multi-disciplinary team of software engineers, architects, computer scientists Your projects will include multi-disciplinary
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with the following documents before December 31, 2025: Motivation Letter Curriculum Vitae including a Publication List Names of 2–3 References Further information about the Bezdek Group can be found
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to complex in vivo environments (Schmidt, Science, 2022), especially in the context of drug-host microbiome interactions, and the development of dedicated tools and analytic workflows for the novel data
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portal. Applications submitted via e-mail or postal services or incomplete application packages will not be considered. Further information about the Bio Engineering Laboratory can be found on our website
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, with monthly salaries based on standard ETH Zurich rates. For salary information, please refer here . You are required to take up residency in Zurich during the period of the scholarship. Working
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to extract key structural information that goes beyond enantiomer discrimination. You will work on both developing nanophotonic systems that enhance light chiral matter interactions and novel imaging systems