Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- ; The University of Manchester
- University of Nottingham
- ; Newcastle University
- ; University of Cambridge
- ; University of Leeds
- ; University of Warwick
- ; Aston University
- ; Cranfield University
- ; Manchester Metropolitan University
- ; Swansea University
- ; UWE, Bristol
- ; University of Birmingham
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of York
- Harper Adams University
- Newcastle University
- University of Cambridge
- 16 more »
- « less
-
Field
-
considered. Experience of using machine learning algorithms and toolsets, ideally in a research context. Strong programming skills (e.g., Python, Java, C++). An interest in physiological signals. Home Student
-
prototype/demonstrator of a low-cost smart sensor. To develop an efficient algorithm to process the vibration signals locally and to develop the firmware to be embedded within the sensor node. To validate
-
) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
-
-time sensing, multi-sensor fusion, and intelligent algorithms can jointly enable safer, greener, and smarter rail operations. Key research topics include eco-driving, environment cooperative perception
-
should operate in an AI context. The AI revolution has sparked ongoing debates that highlight the multifaceted role of AI and algorithms in shaping our world—in ways that engage deeply with law. Fully
-
allow you to explore the fundament physical limits of the technique and to create new image reconstruction algorithms. This project offers the opportunity to produce new techniques in imaging physics
-
Physics graduates with a strong background in Fluid Mechanics and Heat Transfer. The work will involve the use of flow diagnostics techniques and post-processing algorithms. It will also require
-
PhD Studentship: Open Radio Access Network (ORAN) for Distributed Edge Computing Orchestration in 6G
://cheddarhub.org The work is envisioned to have great impact on design and development of intelligent AI/ML orchestration algorithms in real 6G experimentation test beds. The applicant is envisioned to further
-
algorithms, validated navigation architectures, and new insights into next-generation intelligent mobility solutions. The student will undertake two industry placements at Spirent, use high-tech simulation
-
aims and objectives This project aims to develop an optimised, fault-tolerant implementation of the Falcon post-quantum digital signature algorithm for spaceborne FPGAs/processors. The key objectives