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alongside researchers and engineers in an international team and will have the room to shape the direction of your own thesis. An example of a system to be developed are trustworthy AI voting assistants in
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development, software release, and software testing, assisting in conducting testing and evaluation of the prototypes using the global production network, as well as maintaining local testbed resources and
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at ETH SPH, you’ll help students to reflect, ask insightful questions, and support them to pin down their next steps, without taking on a leadership role. Location & Scaling: You will establish a highly
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effectively and value different perspectives Courage: You are willing to tackle difficult or unfamiliar problems Supportive: You help colleagues and users succeed Integrity: You act responsibly, reliably, and
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with surveys, focus group discussions, and interviewing is a major plus Highly motivated and self-organized You will be expected to help us maintain a positive team dynamic and a welcoming work
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modelling and machine learning. The PhD student will help implement, coordinate and analyze studies that bridge controlled physiology and ecological, home-based assessment. Job description The successful
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-world application through collaborations. Supervise master/bachelor students Teaching assistant for the robotic materials class Profile PhD degree in Materials Science and Engineering, Mechanical
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students Teaching assistant for the robotic materials class This is a full-time position that starts as soon as possible. Applications are evaluated on a rolling basis until the position is filled. Profile
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students Teaching assistant for the robotic materials class This is a full-time position that starts as soon as possible. Applications are evaluated on a rolling basis until the position is filled. Profile
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decision-making and legal reasoning in the presence of AI tools Contributing to the development of experimental designs and evaluation frameworks for AI-assisted decision-making Collaborating with