122 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"VinUniversity"-"NORCE" positions 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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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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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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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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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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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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science or a related field Knowledge of satellite data formats and remote sensing Experience with large datasets (petabyte-scale), data management and data quality control Very good skills with programming
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data