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                Applicants should have a strong interest in doing basic research in areas such as: Bio-inspired /Bio-hybrid Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics 
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                into sustainable, user-friendly products? Are you eager to shape the future of biomedical informatics in the Zurich area? If this sounds like you, we invite you to join NEXUS Personalized Health, ETH Zurich’s 
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                the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of 
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                . You have a solid background in computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis 
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                to scientific exchange and team development Profile Master’s degree or equivalent in Data Science, Computer Science, Biomedical Engineering, Neuroscience, or a related field Solid experience in Python and/or R 
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                one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge 
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                The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for postdoctoral positions to work at the intersection of computational quantum many-body physics, automated scientific 
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                collaboration between Food Process Engineering and Food Structure Engineering at ETH Zürich. Plant-based meat alternatives are typically obtained via high-moisture extrusion cooking. Texturization is believed 
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                responsible for the Physical Sciences & Engineering domain. As her Scientific Collaborator, you will help enable the ERC’s mission to advance investigator-driven frontier research across all fields of research 
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                teaching responsibilities (20%) in courses offered by the Chair of Geoinformation Engineering. Profile The ideal candidate must have an academic degree in Geoinformatics, Transportation, Computer Science