221 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions at ETH Zurich in Switzerland
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research at the forefront of computer science. Successful candidates should establish and lead a strong research program. The new professor will be expected to supervise doctoral students and teach both
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professor will be responsible, together with other members of the department, for teaching undergraduate (German or English) and graduate level courses (English) for students in mathematics, natural sciences
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well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description Postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode device fabrication, and
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well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD projects will combine catalyst engineering, computational simulation, bioelectrode device fabrication, and electrical
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work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
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. Further, the lab is associated with the ETH AI Center, which offers additional opportunities for networking and learning Profile You should hold a PhD in Cognitive Science, Psychology, Learning Sciences
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, technology, and societal impact. Together with its associated centres and labs, we investigate how to effectively market innovative offerings and how emerging technologies transform the relationship between
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published work , or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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, or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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involves a collaboration with Associate Professor Jenni Raitoharju from the University of Jyväskylä, Finland. Keywords: ecohydraulics, Riverine Organism Drift Imager, artificial intelligence, imaging