195 web-programmer-developer-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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to run a world-class research and teaching program that emphasizes industrial translation of Artificial Intelligence methods within a Design and Manufacturing context. This position is envisaged to be part
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-of-the-art synthetic biology with advanced nanotechnology, and electrogenetic interfaces to engineer human cells for next generation bioelectronic medicine, designing programmable cells that respond
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Topic A: Automation and Monitoring for an Internal Development Platform Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research
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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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, 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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candidate will contribute 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
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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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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