221 computational-physics-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions in Switzerland
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25 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Materials engineering Physics » Computational physics Physics » Other Researcher Profile
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) Country Switzerland Application Deadline 19 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
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11 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Established Researcher (R3) Country
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expertise? Through an Impact Collaboration Programme (ICP) project, you can develop creative ways to work together to ensure that the best available knowledge supports the design of solutions to the complex
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
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that will shape your research career. Your profile We are looking for 2 highly motivated PhD students with a strong analytical background and an MSc degree in Physics, Computational Chemistry, Materials
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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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) project, starting May 1st. This role sits at the intersection of applied machine learning, natural hazards, and snow/avalanche physics. The project is named Towards high-resolution, intelligent
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molecular-scale continuum description of inhomogeneous systems – in process design and, therefore, to fuse the scales from molecules to processes. To overcome the computational challenge of applying molecular