Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- ;
- Imperial College London
- ; City St George’s, University of London
- ; King's College London
- ; Brunel University London
- ; Imperial College London
- ; University of Greenwich
- University of East London
- ; London South Bank University
- ; Queen Mary University of London
- ; St George's, University of London
- ; UCL
- ; University of East London
- KINGS COLLEGE LONDON
- UNIVERSITY OF EAST LONDON
- 5 more »
- « less
-
Field
-
. The School of Architecture, Computing and Engineering (ACE) at the University of East London (UEL) is deeply embedded in London’s dynamic and diverse communities. Known for its innovative, impact-driven
-
experience in this clinical field is not essential. We welcome applications from early career researchers with relevant expertise in a wide range of quantitative or qualitative methods (e.g. epidemiology
-
PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project
-
The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
-
Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
-
. Participatory research methods working with diaspora groups from the Caribbean and local community organisations to retrospectively centre previously marginalised voices, in doing so bringing IWM collection
-
academic performance in undergraduate and, where applicable, Master’s coursework Advanced programming skills in R and Python Familiarity with econometric techniques, especially panel data methods Ability
-
experimentation and finite-element modelling. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical
-
% of their time on teaching/related professional development. Teaching duties will be agreed annually with Programme Directors and tailored to the demonstrator’s expertise and career goals. Applicants will be
-
including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians