205 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs"-"U.S"-"https:" positions at ETH Zurich
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Translational Center’s Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in
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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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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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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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100%, Zurich, permanent Tethys Robotics develops innovative underwater robotic solutions for inspection missions in challenging conditions. We serve clients such as large asset operators 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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-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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), 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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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