-
. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence, or related disciplines. Proficiency in Deep Learning and familiarity with tools such as
-
in the fields of energy engineering, computational fluid dynamics, and multiphase fluid mechanics. You will join an enthusiastic, friendly, and supportive group of PhD students and postdocs who are all
-
communication skills; Strong interest and enthusiasm for the field of sport medicine and technology. The following skills are desirable but not essential: Experience of experimental or computational research in
-
according to how well they meet the following criteria: A first-class* honours degree (or equivalent) in Engineering, Physics, Mathematics, Applied Mathematics, Chemistry. Excellent written and spoken
-
care pathways. The Computational Health Informatics Lab at Oxford University is at the forefront of research and developing such systems. This NIHR-funded PhD project will focus on the use of wearable
-
honours degree (or equivalent) in Physics, Engineering, or Materials Science Excellent written and spoken communication skills in English The following skills are also highly desirable: Ability to program
-
approach and focusses on the benefits and costs for end- users, rather than merely the system or utilities Eligibility This studentship is funded through the UK Engineering and Physical Sciences Research
-
Faculty of Health and Life Sciences Oxford Institute of Applied Health Research (OxINAHR) 3 Year, full-time funded PhD Studentship Eligibility: Home UK/EU applicants who must be permanently resident
-
academic oversight to the linked PhD programme within the Nuffield Department of Primary Care Health Sciences. You will have a relevant PhD/DPhil with significant post-qualification research experience and a
-
trained and become a proficient user of a range of advanced experimental techniques. For instance, you will learn how to use in-situ X-ray Computed Tomography (XCT), a non-destructive imaging technique