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The Khammash Lab at ETH Zurich is seeking a motivated and skilled postdoctoral researcher to join our interdisciplinary team working at the interface of synthetic biology, control engineering, and
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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. The Department of Medical Parasitology and Infection Biology (MPI
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of Psychology. There is a broad focus of research and teaching in the lab, including computational photography, media studies, science and technology studies, videogame studies, critical making and design, AI and
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studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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100%, Singapore, fixed-term ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in
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analytics projects Mentor graduate students and supervise research activities Required Qualifications PhD in Computer Science, Data Science, or related fields Strong background in blockchain data collection