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-quantitative methods for decision support for sustainable innovation. Your tasks With the PhD work, we plan to adapt and advance the SSbD framework in the area of green electronics, with a special focus on bio
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modeling and teaching duties. Position details: Start date: February 1st, 2026, or by agreement Fully funded PhD position (approximately 4 years). Final admission to the doctoral programme follows a
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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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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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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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, 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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, Deep Optics Excellent problem-solving abilities and a passion for research Strong programming skills and proficiency with differentiable simulation frameworks are a plus Excellent verbal, written, and
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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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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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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