858 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 03/15/2026 Prae Doc
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leadership. This role will be responsible for operational, billing, health information management, and Board of Trustee management and support. This position requires attention to the detail, outstanding
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. Space for personalities. Since 1365. Data protection Application deadline: 03/05/2026 (Senior) Lecturer & Researcher
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of what’s possible. Founded to commercialise research generated over the last decade at the Cavendish Laboratory, Nu Quantum is on a mission to shape the future of quantum information systems. We’re working
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data integration and coordinates other efforts related to infrastructure with minimal supervision. The Northcott Lab within the Center of Excellence in Neuro-Oncology Sciences (CENOS) is seeking a highly
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language data from children and adults who speak German and Bosnian/Croatian/Serbian, and Slovak. Therefore, a high knowledge of these languages is desirable. The position offers the opportunity to gain
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.- Prof. Dr. Philip Walther, is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics and member of the Vienna Center for Quantum Science and Technology (VCQ
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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brain tumors through application of innovative technologies and/or data science. Key areas of interest include development of human stem cell and organoid models to study mechanisms of tumorigenesis
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of Gothenburg in Sweden and the Norwegian Institute of Public Health (Oslo). We investigate genetic and environmental factors affecting human gestational age at pre-term birth. We work with unique genomic data