13 computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"ADELAIDE-UNIVERSITY" PhD positions at University of Oxford
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. The studentship will integrate with work across the EPSRC Programme Grant “EEBio: Efficient engineering and control of predictable and reliable biotechnologies”; as such the candidate will be supported by a
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undergraduate degree with honours (or equivalent) in Engineering, Mathematics, Physics, Computer Science, or a related discipline Excellent English written and spoken communication skills It is desirable
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computing. Applicants should have, or expect to obtain, a strong undergraduate or master's degree in physics, materials science or a closely related discipline. Candidates should demonstrate strong analytical
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application system: https://www.ox.ac.uk/admissions/graduate/application-guide https://www.ox.ac.uk/admissions/graduate/courses/dphil-chemistry Please quote PM/Chem/2027 under ‘Departmental Studentship
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intelligence, agentic AI, computational biology, scientific software and research computing, including development of the programme’s AI Scientist and its integration with frontier and open-source AI models
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instabilities can be used to programme the deformation and reconfiguration of inflatable structures. Based in the RADlab within the University of Oxford’s Department of Engineering Science, the student will
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computational skills are essential. A background in mechanics, physics, applied mathematics, materials science, or chemistry could provide a suitable starting point. Eligibility This studentship is funded through
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will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer science
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, to conceptualise and run research projects that develop and test novel psychotropic and neurological agents. The course will offer you insights into a range of fields including molecular biology, brain imaging
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. Project overview This project will form part of a unique study being run in collaboration with the Oxford Vaccine Group and Ellison Institute of technology. The COHORT study (PI Prof Susanna Dunachie) seeks