1,550 computational-physics "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers
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. bioinformatics, computational biology, computer science, physics, mathematics) is highly desirable. Organizational Capabilities: Ability to manage computational resources, projects, and data effectively. What we
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programme and the application process, please visit the Charleston website: https://cuni.cz/UKEN-2185.html . For inquiries, contact us at msca.charleston@cuni.cz.
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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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Job Description At St. Jude Children's Research Hospital, every role contributes to our mission of advancing cures and saving children. The Compliance Program Administrator for International
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To strengthen our team in the division “Acoustic and Electromagnetic Methods” in Berlin-Steglitz, starting 01.04.2026, we are looking for a PhD student (m/f/d) in the field of physics or engineering
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial