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, covering aspects from engineering, manufacturing, economics and public perceptions. They will also develop the Diagnostic Discard exhibition to engage a broader public to consider diagnostic waste. See full
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an appropriate subject or a relevant Masters qualification. If your first language is not English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with
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23 Aug 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund Research Field Medical sciences » Medicine
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neurophysiological recordings, imaging studies, and behavioral experiments Present research findings at internal seminars, external conferences, and scientific meetings Actively engage in the Neuroscience PhD Program
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) publication at top tier ranked international conferences and journals in Computer Science. Person specification: MSc in Computer Science or AI (minimum of 2:1 degree or higher) UK home student status holder
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. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
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Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
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School of Information Technology (SIT) PhD Scholarship Scheme The successful applicant will be based at Murdoch University within the School of Information Technology (SIT) and work closely with the academic staff at SIT. We are looking for PhD students to work on projects on stochastic...
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that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects is the perfect opportunity for you. Many of today’s most pressing problems can only be tackled through
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial