Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; University of Warwick
- ; Manchester Metropolitan University
- University of Cambridge
- ; Swansea University
- ; Cranfield University
- ; University of Birmingham
- ; University of Southampton
- ; Newcastle University
- ; University of Nottingham
- ; University of Reading
- University of Newcastle
- ; Brunel University London
- ; Loughborough University
- ; University of Exeter
- Harper Adams University
- University of Liverpool
- University of Manchester
- ; City St George’s, University of London
- ; Edge Hill University
- ; University of Bristol
- ; University of Oxford
- ; University of Sheffield
- ; University of Sussex
- Abertay University
- Brunel University
- Imperial College London
- ; Bangor University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; King's College London
- ; Lancaster University
- ; Queen's University Belfast
- ; The University of Edinburgh
- ; UWE, Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Kent
- ; University of Leeds
- ; University of Stirling
- ; University of Strathclyde
- ; University of Surrey
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- King's College London
- Nottingham Trent University
- UNIVERSITY OF VIENNA
- University of Oxford
- University of Sheffield
- 47 more »
- « less
-
Field
-
for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
-
fluid or as individual particles; moreover, complex chemical reactions can occur between species in the plasma. Modelling a plasma is accordingly a very complex and challenging task. The objective
-
for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
-
Almost all radar systems currently transmit from the same location. This kind of radar modality has been optimised for decades, however the challenge to detect very small and very fast objects
-
for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
-
sequences, analyse those data using Bayesian, Maximum Likelihood and coalescence approaches, and build matrices of geolocation and morphological data. The work will be alongside others working on related
-
infectious disease epidemiology and mathematical modelling in Biology and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good
-
Pickett https://www.ncl.ac.uk/medical-sciences/people/profile/sarahpickett.html Sarah.pickett@ncl.ac.uk Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find
-
When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its
-
modalities and populations. This project (SpyGlass) will investigate machine learning methods, particularly generative and foundation models, to discover robust correlation structures in cross-modal datasets