90 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at ETH Zurich in Switzerland
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of research funding and policy. You will collaborate with leading researchers, research programme managers and policy experts and contribute directly to the effectiveness of the ERC’s evaluation processes
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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the ability to independently drive projects from concept to completion. Bonus Qualifications: Experience with Gaussian Splatting. Familiarity with CUDA, compute shaders, or other GPU programming
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case study landscapes. Thus, analytical and programming skills are essential. You will be developing and using a set of climate change and rewilding scenarios, including the cessation of forest
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is desirable. Strong programming skills are necessary. Good knowledge of English (spoken and written) is essential. Employment will be according to standard regulations at ETH (funding secured for 4
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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the Science in Perspective Program . Contribute to interdisciplinary research and teaching initiatives in partnership with computer science faculty, researchers, and students at ETH Zürich. Engage on topics
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familiar with, or willing to learn, a behaviour experiment creation framework, e.g. PsychoPy or jsPsych You have good programming skills with HTML, Javascript and Python You are encouraged to experiment
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analysis, and radioactive material behaviour is a plus. Good knowledge of programming languages (C++ and Python). Independent, self-driven, creative, and solution oriented. Strong written and verbal
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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