89 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions in Switzerland
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- ETH Zurich
- Empa
- ETH Zürich
- University of Basel
- Agroscope
- University of Zurich Blockchain Center
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- ; Ecole polytechnique federale de Lausanne - EPFL
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- INSAIT - The Institute for Computer Science
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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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the project's framework and communication of findings at consortium meetings, (inter)national conferences and in peer-reviewed journals. Your profile PhD degree in biology, toxicology, life science or a related
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expected to collaborate closely with the research supervisor and the ODI team members, and assist in mentoring Master’s or Bachelor’s thesis projects. Profile We are seeking candidates with: A PhD degree in
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for representative quantum paraelectrics and use these force fields to perform lattice-dynamics simulations with explicit quantum mechanical treatment of the nuclei. Profile A PhD in Computational Materials Physics
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types. Profile A PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations, including writing computer code, is essential. Familiarity with
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Enable real-time decision-making in production environments Job description Design and implement data augmentation techniques to enhance model performance Implement efficient parametrization methods
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vivo relevant models for antimicrobial assessment to demonstrate the efficacy of the developed coatings under conditions closely simulating in vivo environment The work aims to advance the fundamental
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(oral and written) and be willing to work and take over responsibility in a highly interactive international environment with other Postdocs and PhD students. Moreover, the candidate will also be involved
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are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline Demonstrated expertise in machine learning and computer vision
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apply for third party funding. Contributions to teaching within the Engineering Geology group are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering