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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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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 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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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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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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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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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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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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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