360 computational-physics "https:" "https:" "https:" "https:" "IFM" positions in Switzerland
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- ETH Zurich
- University of Basel
- ETH Zürich
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- Paul Scherrer Institut Villigen
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- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- CERN
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- EPFL - Ecole Polytechnique Fédérale de Lausanne
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- Inselspital Bern
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- University of Berne, Institute of Cell Biology
- University of Geneva
- Università della Svizzera italiana (USI)
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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of astrophysical and/or space-science data processing. The successful candidate will hold an MSc or greater degree in computer science or engineering, or a PhD in applied mathematics, physics, or related fields
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, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal qualifications include strong
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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable
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convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational
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scientific publication. Source Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program Contribute to data packages generated by openwashdata
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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To submit an application, you need a written confirmation from the research institution. At UZH, you will receive the confirmation letter via the approval process in AVA, the UZH third-party funding
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To submit an application, you need a written confirmation from the research institution. At UZH, you will receive the confirmation letter via the approval process in AVA, the UZH third-party funding