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combines machine learning, legal applications, and empirical evaluation in collaboration with judicial partners. The project offers a unique opportunity to work on real-world, high-stakes AI systems in
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. This project tests the novel hypothesis that RNT arises from reduced sensitivity to environmental change manifested as impaired adaptation of learning to environmental volatility, driven by abnormal
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applications of artificial intelligence for the Swiss judiciary in close collaboration with courts and partners across Switzerland. We are looking for a PhD Student in Law. This doctoral position is part of
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applied research project on the detection, localization and interpretation of explosion events in underground ammunition storage facilities. The position is embedded in a collaborative project with
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expertise in bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate
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cognition. Under the guidance of Prof. Jutzeler, a dedicated postdoctoral researcher, and collaborators, you will have access to unique clinical datasets, wearable sensing technology, and state-of-the-art
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theoretical and experimental biology with advanced bioengineering and fostering close collaborations with leaders in material science, physics, and chemistry to drive transformative advances in systems biology
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facilities in Switzerland, France, Germany, UK, Japan and the USA Data analysis and modeling will be done in collaboration with research groups that specialize in theoretical and numerical calculations Profile
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the Swiss National Science Foundation. This collaborative project (EPF Lausanne, University of Lausanne, ETH Zurich) aims to improve the performance of joint arthroplasty through the use of novel materials
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to scientific colleagues in workshops and conferences, and you will prepare your research findings for publication in scientific journals You will collaborate with a research team at ETH and at other institutions