Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- University of Nottingham
- University of Cambridge
- ;
- ; Swansea University
- University of Sheffield
- The University of Manchester
- ; University of Southampton
- ; The University of Manchester
- AALTO UNIVERSITY
- ; City St George’s, University of London
- ; University of Birmingham
- University of Oxford
- ; University of Exeter
- ; University of Surrey
- University of Cambridge;
- University of Newcastle
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Warwick
- Nature Careers
- UNIVERSITY OF VIENNA
- University of Bristol
- ; Brunel University London
- ; Loughborough University
- ; Newcastle University
- ; University of Cambridge
- ; University of Sheffield
- Harper Adams University
- Imperial College London
- KINGS COLLEGE LONDON
- Newcastle University
- The University of Manchester;
- University of Birmingham
- University of Exeter
- University of Glasgow
- University of Liverpool
- University of Surrey
- University of Warwick;
- ; Aston University
- ; Coventry University Group
- ; Imperial College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; University of Bristol
- ; University of Huddersfield
- ; University of Oxford
- ; University of Plymouth
- ; University of Strathclyde
- ; University of Sussex
- Abertay University
- Brunel University London
- Coventry University Group;
- King's College London;
- Loughborough University;
- Manchester Metropolitan University
- NORTHUMBRIA UNIVERSITY
- Newcastle University;
- Oxford Brookes University
- The University of Edinburgh
- The University of Edinburgh;
- UCL
- UWE, Bristol
- University College London
- University of East Anglia
- University of East Anglia;
- University of Exeter;
- University of Greenwich
- University of Hertfordshire
- University of Leeds
- University of London
- University of Nottingham;
- University of Oxford;
- University of Sheffield;
- University of Strathclyde;
- University of Sussex;
- University of Warwick
- 68 more »
- « less
-
Field
-
, Physiology and Neuroscience (PPN) in the School of Life Sciences at the University of Nottingham. The role will explore the molecular pharmacology of receptor tyrosine kinases (RTKs), focusing on how
-
physical and numerical modelling. Feel free to reach out to the project supervisors if you have any questions. Entry requirements: The ideal applicant will be enthusiastic and self-motivated with a first
-
Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
-
Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
-
for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
-
determine the impact of community acquired pneumonia that requires hospitalisation has on the quality of life of patients. The final stage will be to design a generic economic model to evaluate any new
-
. Using gastruloids as a model system with which to study GAG structure/function relationships. Generating gastruloids from induced pluripotent stem cells (iPSCs) to create in vitro models for studying
-
targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
-
correction. This machine-learning approach, however, needs a realistic model of light propagation in the retina in order to validate it and to generate the large volumes of training data required. Funding
-
mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient