Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to classify unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD/MSc degree from Computer Science with research
-
About the Role In partnership with North East London Integrated Care Board, QMUL is launching a brand new training programme, recruiting GP Fellows to work a hybrid role, both in practice and in
-
network including epigenetics experts (QMUL Centre for Epigenetics), cardiovascular geneticists (Prof. Patricia Munroe) and computational collaborators (Dr. Camille Berthelot). About You We seek
-
Education and PhD courses offered by the department. Liaise with the Central Services team and Programme Offices to ensure efficient and accurate processing of grades, the administration of elective course
-
be expected to develop a programme of multiple sclerosis research, focusing on social determinants of health. This could include gender-specific factors, and/or factors related to other social
-
the findings for publication. They will hold a PhD (or close to completion) in Statistics or Epidemiology, and /or relevant professional qualification and / or equivalent professional experience and will have
-
for drug resistance. This role involves collaborating with researchers at Queen Mary University of London and across a large international consortium. About You You will have a PhD (or be near completion) in
-
to refereed journals, and work with and help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience
-
postgraduate students and over 150 PhD students within our London operation, supported by an administrative and technical staff of around 45. About Queen Mary At Queen Mary University of London, we believe
-
Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable