461 computer-science-intern "https:" "https:" "https:" "https:" "DESY" positions in Switzerland
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90%, Basel, permanent The Laboratory Automation Facility (LAF) is a central research and service platform within the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zurich
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that control microbial surface colonisation and biofilm assembly, structure, and rheology. We use a broad spectrum of technologies in materials science, microbiology, and microfluidics, as well as advanced
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, you will find a welcoming, open, and highly interactive research environment. Our work is collaborative and interdisciplinary, and it is firmly embedded in the international quantum computing community
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Your position A fully funded PhD position is available in the Computational Pharmacy group at the University of Basel. The successful candidate will contribute to ongoing research on the development
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of Basel, Swiss TPH combines research, education and services at local, national and international levels. 1'000 people from 96 nations work at Swiss TPH focusing on infectious and non-communicable diseases
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physics simulation, rendering, and neural graphics. Profile Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field. Strong proficiency in C++ and Python, with a track record
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We offer you ■ You will have access to state-of-the-art research equipment in RNA sequencing, cell biology, computational resources, and microscopy. ■ You will work in a dynamic and highly
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is carried out by the responsible recruiters and not by artificial intelligence. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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We are looking for a Technical Expert to join our focused ultrasound technology team for delivering drugs non-invasively to the brain using customized drug carriers. This position will support our
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Infectious Diseases unit. We are seeking a dynamic and collaborative academic leader with substantial clinical experience and research expertise in pediatric infectious diseases, demonstrated by international