694 computer-science-intern "https:" "https:" "https:" "https:" "Ulster University" PhD positions in United Kingdom
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Principal supervisor: Charlotte Doidge Other supervisors: Jasmeet Kaler, Jorge Vazquez Diosdado, Alexandra Lang Background: Research at the School of Veterinary Medicine and Science includes
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research activity such as food science, nutrition, biochemistry, chemistry or related subject. Practical experience of applying specialist skills and techniques required for the role including human
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2 Mar 2026 Job Information Organisation/Company The University of Edinburgh Department School of Engineering Research Field Engineering » Electronic engineering Engineering » Communication
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the University College London (UCL) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project will focus on the development of an AI-enhanced design framework for novel
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic
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This PhD is part of the The Fusion Engineering Centre for Doctoral Training (CDT), at the University of Nottingham and has industrial collaboration, being co-supervised by a member of staff at
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Fully-funded PhD Studentship in Metamodelling of Speech Domains School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Thomas Hain Application Deadline: 19 April
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evaluating a class of AI technology that enable expressive, individual and masterful interactions, like a virtuoso musician who channels all of their being - physical, mental, emotional and even spiritual
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push the boundaries of IoT and edge computing but also position yourself as a future leader in MEMS technology and natural computing. Supervisors: Primary supervisor: Amal Hajjaj Secondary supervisor
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep