249 computational-physics-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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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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these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/postdoc-in-laser-process-monitoring-… Requirements
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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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project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant material coatings. Your tasks You will work on basic science topics as well as on applied
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Doctoral Program in Literary Studies of the University
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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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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi