359 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Switzerland
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thinking with a structured, quality-focused approach to data and methods. Ideally, experience in one or more of the following: data engineering, building data-driven apps, computational linguistics, machine
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the environmental drivers that regulate these processes. We will use machine learning approaches (XGBoost, SHAP analyses) for the flux partitioning, complemented by existing tree dendrometer and sap flow measurements
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Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and mutual learning Access to state-of-the-art research infrastructure Your job with impact: Become part of
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sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive
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to a sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and
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collaboration with PD Dr. Isabel Hostettler (HOCH Health Ostschweiz). The candidate will perform research at Empa in St. Gallen with joint affiliation to ETH Zürich (D-HEST, Prof. Peter Wick). Desired starting
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. Empa is a research institution of the ETH Domain. Our Laboratory for Advanced Fibers in St. Gallen develops functional polymer fibers for medical and technical applications. Together with partners
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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of machine learning and high-performance computing, tackling complex, open-ended challenges to deliver scalable solutions. You will design and optimize a software-defined infrastructure that enables cutting