899 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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to integrate molecular phenotypes from biological samples with associated health information. The Institute is committed to growing its research portfolio and to developing the careers of medical students
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, military branch, conflict counselling). Experience in data entry and working in emergencies and fast pace, stressful environment. Some experience with computer systems, including Microsoft Office (Word
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . The Role We are seeking a highly
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human health. Within this mission, the Health Data Science Centre (HDS Centre) at HT has been planned in partnership with Politecnico di Milano and is developing several lines of research, with the aim
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a multidisciplinary, highly
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) for Cyber Defence & Sovereign Security will function as a national-grade cyber defence lab, combining AI, big data, cryptography, and real-time systems to develop secure platforms for government, fintech
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sustainable food systems, with strong expertise in dietary assessment, nutritional epidemiology, and data science. As Chair of Global Nutrition, you will have the opportunity to further shape and expand
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central to shaping a newly established and rapidly scaling Plant Biology Institute with the ambition to become a global leader in plant phenotyping and data-driven plant science. The successful candidate