207 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at ETH Zurich
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100%, Zurich, fixed-term The Technology Marketing Group , founded by Florian von Wangenheim in 2013, is a pioneering research group at ETH Zurich dedicated to exploring the intersection of marketing
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, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
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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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or mechanical engineering, or CS Solid knowledge of computer vision and ML, particularly anomaly detection methods Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
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tools. Our group combines biology, engineering, and computational science to understand how cells organize into complex tissues. Located in Basel, the Department of Biosystems Science and Engineering (D
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degree in biomedical engineering, mechanical engineering or related relevant field A demonstrated and substantial experience with computational simulation methods, i.e. finite element analysis English
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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
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links to the ETH AI Center and the Reliability and Risk Engineering Lab . Job description Collaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization
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, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into