379 computational-physics "https:" "https:" "https:" "https:" "University of Cambridge" positions in Switzerland
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We look forward to receiving your online application (English, PDF format), including: Motivation letter (max. 1 page) outlining your qualifications and motivation for this project. Research proposal (max. 3 pages) on "Future of food processing for affordable, nutritious and more sustainable...
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The Mobile Robotics Lab (MRL) at ETH Zürich pushes the limits of robot intelligence. We want to build robots that can safely explore, navigate, and interact with their environments—specifically, how learned perception can drive action in a closed loop and how we can leverage foundation models...
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, you process collected data, prepare reports, and deliver results back to customers and internal teams - ensuring that every project is both professionally executed and well-documented. Further, you will
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modeling of typical cases, the physical drivers behind the enhanced climate trends over mountains can be identified and understood. The funded Ambizione project entails the modeling of realistic case studies
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and
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researcher to advance our understanding of magmatic and volcanic systems. Job description Develop and lead an independent research program in magmatic petrology, volcanology, and/or geochronology. Publish
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transdisciplinary knowledge. Job description We offer a full doctoral student position in our research group. The doctorate will be conducted within the Einstein School’s doctoral program and is expected to be
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Your position We are looking for a skilled Histology Technician to prepare and process tissue samples, perform staining, and support researchers with accurate, reproducible results. You'll maintain
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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
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work