219 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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interpretation of explosion events in underground ammunition storage facilities. The position is embedded in a collaborative project with armasuisse Science and Technology and partners from industry and the Swiss
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
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The Strategic Communication Officer plays a central role in shaping NCCR Catalysis's positioning, both internally and externally. Working at the interface of science, strategy, and communication
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university and in developing research and teaching partnerships with computer science faculty and researchers. We are also interested in candidates who value engaging publicly on topics of the ethical, social
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psychology (preferably with an emphasis Cognitive or Educational Psychology), Learning Sciences, Cognitive Science, or a related field You should have a strong understanding of experimental design and
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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In