215 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at ETH Zurich
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We are looking for a highly motivated postdoctoral researcher with a strong background in electrical engineering and hardware-software co-design to join our interdisciplinary research team at D-ITET
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. Questions regarding the position should be directed to Dr. Diana Santelia by email: dsantelia@ethz.ch (no applications). Further information about the Institute of Integrative Biology can be found on our
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with the ability to work across multiple projects in a collaborative academic environment. We are looking for someone with: Master’s degree in aerospace engineering, electrical engineering, computer
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skills which could be relevant include rendering, computer science (with a specific focus on front-end interface development) Fluency in English is required for this position and German is a plus You
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100%, Zurich, fixed-term The Membrane and Interfacial Science Lab in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich designs materials and processes that enable more
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health Sciences and Technology
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statistical genomics, computational biology, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing
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The newly forming Spin Dynamics and Hyperpolarisation group is looking for two doctoral researchers. Fully funded by a Starting Grant from the Swiss National Science Foundation, the group will
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools