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Systems 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 become more adaptive
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to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad implications for understanding cellular health and disease. As a PhD student on this project, you will
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in Lithium-Ion batteries, image analysis, multiphysics modeling, artificial intelligence and your motivation to pursue a PhD CV Bachelor’s and Master’s Transcripts List of 3 references Please note that
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datasets, code, experience around tomographic measurements of battery materials and components, image processing, and multiphysics simulation. During their study, doctoral students are encouraged to pitch
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team and has basic experience in hands-on lab work and in data analysis. Prior experience in optical imaging, nanofabrication, data processing is highly valued but not mandatory. We offer We
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core part of your project will be interpreting the data and developing scientific hypotheses about the atmospheric processes that control the cycling of selenium and other trace elements. You will work
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analyses of the fundamental processes in living organisms. PROFILE: Candidates pursuing internationally recognized research in molecular or cellular biology, genomics, (epi)genetics, proteomics, systems
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Mathematics » Computational mathematics Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe
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, enjoys working closely and respectfully within a team and has basic experience in hands-on lab work and in data analysis. Prior experience in optical imaging, nanofabrication, data processing is highly
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100%, Zurich, fixed-term We invite applications for a fully funded PhD position in the Zindel Lab (Department of Biology, ETH Zurich), in close collaboration with the Tibbitt Lab (Department