91 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at ETH Zurich
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. This position is part of a collaborative project funded by the Swiss National Science Foundation, which supports multiple researchers, at ETH Zurich and at partner universities, and focuses on the development
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. Within this field, we are continuously developing and adopting various algorithms for multiple applications such as automating quality control, detecting process deviations and finally predicting
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interested in current political and societal discussions Be able to work independently, manage multiple tasks and deadlines Be a team player with strong communication skills Have experience with coding (e.g
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the framework of a large National Competence Center of Research (NCCR) “Antiresist” (for more information, view ) involving clinicians, academic and industrial research partners across multiple disciplines, a
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located in the SLA building on the Schwerzenbach Campus of ETH Zurich, a world-leading institute. We provide a cutting-edge work environment, multiple well-equipped facilities with expert staff, supportive
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the possibility of extension to two years (covering the potential full duration of your study programme). Profile Essential: You are enrolled at a Swiss university (final year of a bachelor’s programme or early in
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ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required
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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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management and teaching curriculum. Profile PhD in life sciences, preferably cell biology, microbiology, genetics or similar. Track record of hands-on experience with multiple types of state-of-the-art flow
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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