313 web-programmer-developer-"LIST"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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The Development Economics Group (ETH-DEC) at ETH Zurich is offering a doctoral student position in development economics. The position will start on 1 March 2026. The position is full-time and
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development of new sensors, support nanoparticle-based cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding
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, Switzerland, we are seeking a highly motivated and enthusiastic Postdoc. You will have a unique opportunity to collaborate across scientific and organizational boundaries with a focus on developing powerful
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-view images. Job description Develop and improve methods for 3D garment reconstruction from multi-view image data Research and implement techniques for appearance capture and material modeling, including
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continuous, high-frequency water vapor isotope measurements (δ²H, δ¹⁸O) in combination with eddy-covariance ET fluxes, we will develop more robust, less assumption-dependent methods to partition ET
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facility automation. To push the efficiency limits of such DC supplies, you will develop new converter concepts for AC/DC power supplies with an ultra-wide input voltage range, which are highly efficient
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disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest
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10%-30%, Zurich, fixed-term At the Energy and Process Systems Engineering (EPSE) group, we develop automated experimental setups for measuring vapor–liquid equilibria (VLE), liquid–liquid equilibria
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60%-80%, Zurich, fixed-term The Laboratory of Ecosystem and Landscape Evolution at the ETH Zurich is looking for candidates to fill a technican position focused on the analyses of environmental DNA
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at the intersection of data science, neuroscience, and clinical research. Project background This position focuses on spinal cord injury (SCI) and aims to develop data-driven methods to improve clinical trial design