50 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"DIFFER" positions at ETH Zurich in Switzerland
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development. The Project Hub supports ETH-led missions and technology programs with systems engineering, project management, and PA/QA capabilities. The Innovation Hub accelerates early-stage, high-risk
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and contributor community; oversee communication and engagement via internal and external channels. Plan and supervise maintenance, sustainability, and compliance activities. Profile PhD or Master's
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scientists and engineers. Project background Among other activities, ETH Zurich | Space is building the “Project Hub” that supports ETH-led missions and technology programs. One of the missions that is
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linking ML, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML
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application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission and automate novel setups and voltage/current sources dedicated towards the research
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to the practical supervision of undergraduate and Master’s students through assisting in laboratory courses and semester projects. As a Research Assistant, you will be expected to plan and conduct experiments
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the future your field of activity might also include application of our cutting-edge Simulation environment Software MORe www.more-simulations.ch. Your Tasks Plan and perform experiments (DoE) in a laboratory
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novel systems, plan and execute experiments, and report findings in articles to be published at top venues according to the project’s schedule. Periodic meetings and feedback will ensure the success
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-current-actuated regulation, electromagnetic programming of wireless expression, andclosed-loop systems, we aim to translate these technologies into clinically relevant, minimally invasive therapies
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. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R