Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- Newcastle University
- The University of Manchester
- University of East Anglia
- University of Birmingham
- University of Warwick;
- University of Cambridge;
- University of Warwick
- University of Cambridge
- University of Nottingham
- University of Oxford
- Manchester Metropolitan University
- University of Surrey
- Harper Adams University
- Durham University
- Manchester Metropolitan University;
- University of Essex;
- University of Liverpool
- University of Manchester
- University of Plymouth
- Imperial College London
- Newcastle University;
- University of Bath
- University of Sheffield
- University of Sussex
- King's College London
- King's College London;
- LIVERPOOL JOHN MOORES UNIVERSITY
- Oxford Brookes University
- The Francis Crick Institute
- The University of Manchester;
- University of Bedfordshire
- University of Bristol
- University of Plymouth;
- University of Salford
- ;
- City St George's, University of London (Tooting);
- City St George’s, University of London
- Cranfield University
- London School of Economics and Political Science;
- Northeastern University London
- Royal Holloway, University of London
- The Rosalind Franklin Institute
- UCL
- UWE, Bristol
- University of Bath;
- University of Birmingham;
- University of Chichester
- University of East Anglia;
- University of Exeter;
- University of Reading
- University of Sheffield;
- 42 more »
- « less
-
Field
-
certain assumptions hold. However, whether these assumptions hold is difficult or impossible to verify in practice. The successful candidate will undertake a project in the area of statistics/data science
-
Hydro-Climate Extremes research group and work closely with Dr Xiaowen Dong (Department of Engineering Science), Dr Michel Wortmann, and project partners at ECMWF, Google Research and the Environment
-
the BioGeomorphology Laboratory flume, field datasets from restored and natural saltmarshes across the UK, and expertise from researchers in coastal ecology, hydrodynamic modelling, AI, and data science. Objectives
-
physics-informed neural networks (PINNs). However, these approaches are still in their early stages of development and have yet to demonstrate their effectiveness for complex real engineering problems
-
the low volumetric density of hydrogen, ammonia has emerged as a promising hydrogen carrier and zero-carbon fuel. The overall aim is to develop a novel direct ammonia fuel cell technology that can
-
fundamental materials science and industrially relevant battery manufacturing and recycling technologies. The outcomes of this research will contribute to the development of sustainable battery value chains
-
vacuum, charged-particle optics, laser cooling, ion trapping, precision laser spectroscopy, quantum logic and atomic-clock technology. It sits at the interface between atomic physics, quantum technology
-
to tackle this major clinical challenge. Using advanced data science and 'glucometrics', the standardised analysis of inpatient glucose data, the student will quantify adverse glycaemia, evaluate its impact
-
master’s (or international equivalent) in a relevant science or engineering discipline. We are looking for a motivated candidate with genuine curiosity about the research area and the drive to take a project
-
generate biologically interpretable models of zoonotic emergence and ultimately aid in developing new tools for human pathogen surveillance. This project offers training in bioinformatics, data science and