Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Newcastle
- University of East Anglia
- University of Nottingham
- University of East Anglia;
- The University of Manchester
- University of Birmingham
- ;
- University of Cambridge
- University of Glasgow
- University of Oxford
- University of Sheffield
- University of Warwick
- Harper Adams University
- University of Birmingham;
- University of Warwick;
- ; Manchester Metropolitan University
- ; University of Surrey
- KINGS COLLEGE LONDON
- Loughborough University
- Loughborough University;
- Manchester Metropolitan University;
- Royal College of Art
- Swansea University
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Manchester
- ; The University of Edinburgh
- ; University of Nottingham
- AALTO UNIVERSITY
- Atlantic Technological University
- Bangor University
- Bath Spa University;
- Durham University
- Durham University;
- Heriot Watt University
- Heriot-Watt University;
- Imperial College London
- King's College London;
- Manchester Metropolitan University
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Newcastle University
- Newcastle University;
- The Francis Crick Institute;
- The Institute of Cancer Research
- The Medicines And Healthcare Products Regulatory Agency;
- The University of Manchester;
- University of Bristol
- University of Hertfordshire
- University of Liverpool
- University of Oxford;
- University of Reading
- University of Salford;
- University of Sheffield;
- University of Surrey
- VIN UNIVERSITY
- 48 more »
- « less
-
Field
-
will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural
-
described. In this project, we will investigate the roles of NLR genes in the fungal immune system. Our overall objective is to understand how NLR genes contribute to self/non-self recognition and to
-
novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
-
for Pollinator Monitoring: Train and optimise deep learning models for pollinator detection and classification using annotated image datasets. Post-processing object tracking algorithms will be incorporated
-
publications in reputable outlets appropriate to the discipline Co-ordinate own work with that of others, deal with problems which may affect the achievement of research objectives and contribute to the planning
-
approaches 18 Establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area. 19 Survey the research literature and
-
exposure, and thermal fluctuations. Key Objectives: - Develop and characterize low-carbon materials with multi-functional properties - Assess mechanical performance and long-term durability under simulated
-
system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
-
scientific research by an excellent track record of research outputs and have an ability to work both independently and collaboratively. Excellent written and verbal communication skills, interpersonal skills
-
the scientific tools for LISA, a flagship European Space Agency mission. Key objectives include incorporating higher-order post-Newtonian corrections, higher-order harmonics, and mode asymmetries, whilst exploring