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100%, Zurich, fixed-term The Distributed Computing Group is a research group at ETH Zurich. We are interested in various research topics on new and upcoming areas off the beaten path. Our three
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, multi-objective optimisation (e.g., genetic algorithms), gait analysis/biomechanics. Proven track record in deploying machine learning models into production (preferred) Proficiency in programming in
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staff to deploy our simulation or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems. As many of the lab members actively contribute together
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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. Contribute to fundamental challenges in seismology, geothermal energy, and geobiology. Access to cutting-edge tools, algorithms, and high-quality seismic datasets. Competitive salary and benefits, including
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with