112 phd-studenship-in-computer-vision-and-machine-learning PhD research jobs in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Oxford
- Imperial College London
- AALTO UNIVERSITY
- University of Newcastle
- University of Sheffield
- Heriot Watt University
- University of Liverpool
- Brunel University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Nottingham
- ; University of Cambridge
- Aston University
- Durham University
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Leicester
- 9 more »
- « less
-
Field
-
, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
-
technologies, neurodegeneration models, and interdisciplinary collaboration. This is an exciting opportunity to contribute to a growing research programme with the potential to lead to PhD study or further
-
A PhD is desirable but not required. Other industry, city government or research experience that demonstrates the capability to produce independent original research is also desirable Very good
-
A PhD is desirable but not required. Other industry, city government or research experience that demonstrates the capability to produce independent original research is also desirable. Very good
-
suited to candidates with strong quantitative and analytical skills and a PhD (or near completion) in cancer epidemiology or a related field. Applicants should have experience in applying or developing
-
your academic profile in a friendly, supportive, and dynamic centre, with the possibility of contributing to scholarly and policy publications, research seminars and transitioning into a PhD and/or
-
, including industrial engagement and project planning. Essential Criteria A degree in Engineering or a related subject. A completed (or near-completion) doctorate (PhD or EngD), or equivalent industry
-
, the disease has reached an advanced stage. This fellowship, during which the successful candidate will undertake a PhD, will help establish whether we can improve how pancreatic cancer is diagnosed in primary
-
obtaining) a PhD in Chemistry, Materials Science, Engineering, Physics or relevant technical discipline. To perform the role, the applicants will additionally need to have excellent presentation, technical
-
Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation