191 web-programmer-developer-"https:"-"UCL"-"U"-"CERIC-ERIC"-"https:" positions at ETH Zurich
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. Annalisa Manera. Our lab specializes in both experimental and computational studies of multiphase flows and thermal-hydraulic phenomena in nuclear systems. We develop advanced measurement techniques, perform
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description We are seekinga motivated Software Engineer to join the high performance and cloud computing team at MeteoSwiss. In this position, you will: Contribute to the development of a high-performance and
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to an industry-supported project focused on the development of organic electron storage molecules (electrolytes) for redox flow battery technologies. This position offers a unique opportunity to perform high-level
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seamless interoperability and advanced analytics. Job description We are seeking an experienced Software Developer with data science expertise to play a key role in designing and implementing a consistent
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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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), sorbent properties (e.g., surface charge, specific area), and solution chemistry. Through this work, we aim to support model development and inform regulatory frameworks, in close collaboration with
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support systems in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of generative design for exoskeletons and orthosis. Focused on developing a
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at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for PhD and postdoctoral positions in pioneering projects developing synthetic
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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