198 web-programmer-developer-"https:"-"UCL"-"CERIC-ERIC"-"https:"-"https:" positions at ETH Zurich
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presentation skills and excellent skills in technical/scientific writing. With the social and leadership competencies , ETH Zurich has developed a common understanding for a shared work culture. Kindly try to
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surveying, and geodetic data processing. We are particularly interested in deformation monitoring using point clouds, development of new measurement systems, and advanced geodetic data processing using
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Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits
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courses, and development of safety concepts in line with ETH and federal regulations. Serving as Safety Coordinator for the Institute for Environmental Engineering, consulting on lab safety, waste
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. **The starting date is upon agreement** Job description You will identify critical knowledge gaps, develop and apply machine learning models, statistical analyses, and AI-driven tools to analyze large-scale
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. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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unique opportunity to develop their research abilities at the frontiers of science. Successfully completed undergraduate studies (M.Sc.) in physics, optics, photonics, materials science, or a related field
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and constitutive material models, Developing thermomechanical physics-based models and/or numerical frameworks to predict the response and failure of TESC members under different fire scenarios and
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develop optimization-based approaches inside immersive 3D systems that adapt interfaces to diverse physical environments, input modalities, and ergonomic needs adapt MR workflows dynamically to situational