Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Newcastle University
- Cranfield University
- The University of Manchester
- University of Warwick
- University of Birmingham
- Loughborough University;
- ;
- University of Plymouth
- University of Surrey
- University of East Anglia
- University of East Anglia;
- University of Exeter
- University of Oxford
- Manchester Metropolitan University;
- University of Warwick;
- University of Cambridge;
- University of Nottingham;
- Imperial College London
- Swansea University
- University of Cambridge
- Newcastle University;
- The University of Manchester;
- University of Essex
- University of Leeds
- University of Sheffield
- Cranfield University;
- King's College London;
- Manchester Metropolitan University
- UNIVERSITY OF VIENNA
- University of Exeter;
- University of Manchester
- University of Newcastle
- University of Surrey;
- King's College London
- University of Birmingham;
- University of Essex;
- Harper Adams University
- Imperial College London;
- Lancaster University;
- Northeastern University London
- Swansea University;
- The University of Edinburgh;
- University of Bristol
- University of Lancashire
- University of Leeds;
- University of Reading
- Cardiff University
- City St George’s, University of London;
- Coventry University Group
- Coventry University Group;
- De Montfort University;
- Durham University;
- European Magnetism Association EMA
- Hartpury University and College;
- London School of Economics and Political Science;
- Loughborough University
- Midlands Graduate School Doctoral Training Partnership
- Oxford Brookes University;
- Queen Mary University of London;
- Queen's University Belfast;
- SOAS University of London;
- Selden Society;
- The Medicines And Healthcare Products Regulatory Agency;
- The Open University
- The Open University;
- UNIVERSITY OF MELBOURNE
- UWE, Bristol
- UWE, Bristol;
- Ulster University
- University of Bath;
- University of Bradford;
- University of Dundee;
- University of Glasgow;
- University of Greenwich
- University of Hertfordshire
- University of Hertfordshire;
- University of Lincoln
- University of Liverpool
- University of Liverpool;
- University of Oxford;
- University of Sheffield;
- University of Sussex
- University of Sussex;
- University of Westminster;
- 75 more »
- « less
-
Field
-
experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
-
Vincent Hiribarren vincent.hiribarren@kcl.ac.uk at Department of History to discuss their research interests and proposals before submitting their applications . For information on History Research
-
click on the Apply button above. Please see here for a list of supporting documents to upload with your application. For more information on the admissions process generally, please contact
-
, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
-
considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
-
Other) The successful applicant would study an appropriate master’s degree, such as: MSc Data Science MSc in Social Data Science This project explores quantitative techniques that identify fake news
-
variation in breast cancer susceptibility using whole genome sequencing data”. This project will investigate the contribution of rare non‑coding regulatory variants, including those in enhancers, promoters
-
, environmental fluid mechanics, nature-based solutions, and data-driven analysis. Eligibility Applicants should have a first or upper second class honours degree in an appropriate subject and preferably a relevant
-
turbomachinery design is increasingly the primary bottleneck. Within the next decade, this workflow will be largely replaced by data-driven inverse design models, enabled by the growing availability of high
-
with existing population and demographic monitoring data held by the British Trust for Ornithology. Statistical modelling approaches will examine spatiotemporal changes in bird distributions in response