179 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at ETH Zurich in Switzerland
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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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? No Offer Description The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable
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Researcher Profile Leading Researcher (R4) Positions PhD Positions Country Switzerland Application Deadline 5 Dec 2025 - 17:00 (Europe/Zurich) Type of Contract Temporary Job Status Full-time Is the job funded
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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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100%, Zurich, fixed-term 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
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the full workflow. Help push technology forward within a rapidly evolving environment. Profile MSc or PhD in Computational Science, Computer Science, or a related field Experience in software development
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We are looking for highly motivated individuals with an outstanding academic background who are interested in pursuing a PhD in the important and multidisciplinary research area of modelling and
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over 1400 PhD students & post-docs. Our purpose is to amplify the human potential by fostering breakthrough ideas with interdisciplinary AI research and enabling the path from science to society. We
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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) distributional generalization, transfer learning, causality Multi-objective settings and alignment, RL theory Statistical learning theory, optimization (e.g., implicit bias) Robustness (broadly defined), privacy