Sort by
Refine Your Search
-
qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes
-
partnership with academic Departments to support the University’s progress against its Access & Participation Plan. The postholder will work with a range of individuals, primarily academics and prospective
-
qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes
-
predictive performance, computational efficiency, and spatial resolution through algorithm optimisation, tuning, and refined covariates. Assess trade-offs between spatial resolution and other performance
-
/experience in a related field of study. The successful applicant will be a nationally recognised authority in AI (including but not limited to computer vision, natural language processing, optimization) and
-
possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others
-
. Please direct project specific enquiries to: Dr. Haozhe Wang (h.wang3@exeter.ac.uk ) Please ensure you read the entry requirements for the potential programme you are applying for.
-
enquiries to: Enquiries shall be adressed to Milto Miltiadou (m.miltiadou@exeter.ac.uk) Please ensure you read the entry requirements for the potential programme you are applying for. To Apply
-
enquiries to: Johan Wahlstrom (j.wahlstrom@exeter.ac.uk) Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following
-
for the potential programme you are applying for.