Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- University of Exeter
- University of Birmingham
- University of East Anglia
- University of Exeter;
- ;
- UCL
- University of East Anglia;
- University of Warwick;
- The University of Manchester
- The University of Manchester;
- University of Glasgow
- University of Sheffield
- University of Warwick
- Imperial College London;
- KINGS COLLEGE LONDON
- Loughborough University
- Loughborough University;
- University of Birmingham;
- University of Bristol
- University of Cambridge
- University of Cambridge;
- University of Newcastle
- University of Oxford
- University of Plymouth
- Abertay University
- Bangor University
- Brunel University London
- Coventry University Group;
- Cranfield University;
- Durham University;
- Edinburgh Napier University;
- Manchester Metropolitan University
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Royal College of Art;
- Swansea University
- Swansea University;
- The Institute of Cancer Research
- The University of Edinburgh
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Bradford;
- University of Glasgow;
- University of Hertfordshire
- University of Hull;
- University of Leeds;
- University of Liverpool
- University of Plymouth;
- University of Surrey
- 42 more »
- « less
-
Field
-
organisational, communication, and interpersonal skills. You will bring: Strong experience applying AI methods to complex data, ideally healthcare data A record of high-quality publications and presentations
-
navigation framework aiming for applications requiring position assurance under the most complex navigation scenarios and increased uncertainty in available navigation information. The project contributes
-
trustworthy operation of navigation systems in complex, GNSS-denied scenarios. The ultimate goal is to provide the navigation research community and industry with tools and methods that ensure continuous, high
-
publications and research proposals as well as help manage and direct this complex and challenging project as opportunities allow. Main Duties and Responsibilities Perform the following activities in conjunction
-
tumours and metastases with the goal to design combinatorial therapeutic approaches. The project will involve the use of genetically complex organoid-derived transplantation mouse models of pancreatic
-
: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
-
: this provides capability for accurate and fast modelling of urban drainage, handling the full complexity of flow paths on impermeable surfaces, green space, buildings, pipe networks and BGI features
-
delivery or regenerative medicine. The student will formulate new 3D-printable materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex
-
to achieve complex and customisable micro-robots to provide personalised healthcare solutions. Advantages: This studentship will take place in world-leading research laboratories for additive manufacturing
-
28 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position