32 programming-"Multiple"-"U"-"Prof"-"FEMTO-ST-institute"-"O" scholarships in United Kingdom
Sort by
Refine Your Search
-
Program
-
Employer
- Cranfield University
- ;
- ; Edge Hill University
- ; Newcastle University
- ; University of Southampton
- University of Greenwich
- University of Nottingham
- ; University of Birmingham
- ; University of Leeds
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- University of Glasgow
- 3 more »
- « less
-
Field
-
Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
optimization. The research focuses on creating efficient design workflows, validating multiple additive manufacturing approaches, and developing scalable production methods that can support global deployment
-
Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
-
sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
-
project description: Inkjet printing allows multiple materials to be 3D-printed simultaneously, useful for printing functional devices. Discovering the interactions of these materials and how to leverage
-
causal component of Alzheimer’s Disease (AD). Brain immune response is associated with the accumulation of both tau and amyloid proteins and is implicated in neuropathogenesis and multiple chronic
-
scintillator-based radiation sensors combining multiple materials with complementary functions, offer a promising route to overcome these limits and achieve unprecedented timing resolution (sub-70ps), enabling
-
challenges of quantum technology translation and enjoy problem-solving across multiple domains. Funding and Eligibility This studentship covers tuition fees and stipend for UK students only. Applications from
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
the challenges of dynamic sensor networks for sleep management. Through the joint supervision between multiple disciplines, the student will be offered a unique opportunity to develop a robust personal portfolio
-
subject, including: biomedical engineering, sports science, physiology, medical science, data science. The candidate must have good data handling skills and have or be willing to learn computer programming