626 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" scholarships in United Kingdom
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or more of the following areas (not exclusively): Technology Entrepreneurship and Business Strategy; Risk and Decision-Making for Data Science; Research Methods and Responsible Innovation. This position is
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demonstrate the ability to teach across one or more of the following areas (not exclusively): Cognitive Robotic Systems, Cryptography and Cyber Security, Computer Networks, Sensor and RFID, Advanced Transform
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communication skills are essential, with the ability to convey complex information clearly and engagingly to a wide range of audiences, including students, academic colleagues and the public. About the School
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University Belfast, University of Manchester, University of Edinburgh and University of Bristol. BioAID will train the next generation of scientists in Artificial Intelligence and data-driven approaches
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completed application should be emailed to the Doctoral College Admissions team by 6th April 2026 at 9am. Funding information Full tuition fee waiver for three years and a stipend each year at UK Research
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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed
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click on the Apply button above. Please see here for a list of supporting documents to upload with your application. For more information on the admissions process generally, please contact
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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Vincent Hiribarren vincent.hiribarren@kcl.ac.uk at Department of History to discuss their research interests and proposals before submitting their applications . For information on History Research
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. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery