Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ;
- University of Newcastle
- ; Swansea University
- The University of Manchester
- UNIVERSITY OF VIENNA
- ; Manchester Metropolitan University
- ; University of Southampton
- Harper Adams University
- University of Oxford
- University of Sheffield
- ; Brunel University London
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Birmingham
- ; University of Surrey
- Brunel University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Loughborough University;
- University of Cambridge
- University of Glasgow
- University of Manchester
- University of Warwick
- University of Warwick;
- ; Aston University
- ; City St George’s, University of London
- ; Cranfield University
- ; Newcastle University
- ; University of Bristol
- ; University of East London
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Warwick
- AALTO UNIVERSITY
- Durham University
- Durham University;
- Heriot-Watt University;
- Imperial College London
- King's College London;
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Nature Careers
- The University of Manchester;
- UNIVERSITY OF EAST LONDON
- University of Bristol
- University of Cambridge;
- University of Hertfordshire
- University of Liverpool
- University of Reading
- University of Surrey
- VIN UNIVERSITY
- 44 more »
- « less
-
Field
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
-
The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
-
): Network-level design and multi-node cooperation (coordination, topology design, distributed/federated learning, etc.) Wireless resource allocation and scheduling under multi-objective KPIs (rate, latency
-
the direction of the Principal Investigator • To assist with the development of research objectives and proposals • To conduct individual and collaborative research projects under the direction
-
for platelet production, behave in the body using advanced imaging techniques. Using genetically modified mice that allow real-time tracking of cellular signalling, the project will explore how megakaryocytes
-
environments—such as fleets with multiple aircraft types. Objectives Objective 1: Map current data types, structures, and interoperability challenges to build a detailed "as-is" understanding of current
-
in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
-
in e-learning IT skills, esp. an object-oriented programming language such as C#, Python, or Java Knowledge in: logistics or/and supply chain management or/and transport planning is required Excellent
-
practices (e.g., Buddhism, you will have a track record of interdisciplinary work at the nexus of artificial intelligence and neuroscience. Experience collecting multi-modal neurophysiological data would be
-
rated as ‘world-leading’ or ‘internationally excellent’. This PhD will be based within the Centre for Space Systems and the Resilient PNT research group, both of which have strong track records in