129 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" positions in Switzerland
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transport modelling, and data science. Solid programming skills (ideally Python) and experience with data analysis. Self-motivation and curiosity to learn and grow independently. Strong communication skills
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a highly committed multidisciplinary team Regular meetings and close collaboration with the project partners Enrolment in the PhD program of ETH Zürich ETH Zürich is a family-friendly employer with
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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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, 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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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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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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content. You will also compile the event program booklet. In this role, you will maintain regular communication with your colleagues at CEMETS and the Chair of Education Systems. The position is starting as
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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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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