18 parallel-computing "Computer Vision Center" Postdoctoral positions at ETH Zurich in Portugal
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interest in developing new approaches at the intersection of fluid dynamics and quantum computing. In particular: You hold a PhD in computational fluid dynamics, applied mathematics, physics, computer
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candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
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Partnerinserat Übersicht ETH AI Center Post-Doc Fellowship 2027 100%, Zurich, fixed-term Drucken The ETH AI Center promotes trustworthy, accessible, and inclusive AI systems. For this goal, we
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engineering of ex situ organ perfusion systems, developed as part of the interdisciplinary Liver4Life project in collaboration with the University Hospital Zürich and the Wyss Zürich Translational Center
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, and synthetic materials, actuated by muscle and powered by chemical energy. Perception and Computer Vision: 3D reconstruction, object recognition, and scene understanding that give robots reliable
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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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benchmarks Debug common post-training issues, including optimisation instability, reward hacking, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science
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related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental
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-surface infrastructure Advanced Computing: Competency in compiled languages (such as C++, Rust, or Julia) and multi-physics co-simulation standards (e.g., FMI/FMUs) and Experience in collaborative
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computing, and could provide a physical route to Ising and Boltzmann machines that operate on dynamical rather than static states. Job description Build and operate a programmable network of coupled