91 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" positions at ETH Zurich in Switzerland
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laboratories and in data analysis. Prior experience in nanofabrication, nano- and meta-optics, optomechanics, vacuum technology, programming for experiment control is highly valued but not mandatory. Workplace
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
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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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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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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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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 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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-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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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