Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; The University of Manchester
- Cranfield University
- University of Nottingham
- ; University of Nottingham
- ; University of Birmingham
- ; University of Bristol
- AALTO UNIVERSITY
- ; Cranfield University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Southampton
- ; Brunel University London
- ; University of Leeds
- ; University of Oxford
- ; University of Warwick
- University of Sheffield
- ; Durham University
- ; Imperial College London
- ; Lancaster University
- ; Loughborough University
- ; UWE, Bristol
- ; University of Essex
- ; University of Greenwich
- ; University of Sussex
- Abertay University
- Harper Adams University
- Heriot Watt University
- Newcastle University
- University of Cambridge
- University of Liverpool
- University of Manchester
- University of Newcastle
- 23 more »
- « less
-
Field
-
supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
-
countries subject to trade sanctions, arms embargoes and other trade restrictions (https://www.gov.uk/guidance/current-arms-embargoes-and-other-restrictions ). Award Value Course fees are covered for home
-
Research theme: "AI and Robotics in engineering", "Digital security and resilience", "Digital security and resilience" How to apply:uom.link/pgr-apply-2425 Number of projects: 1 This 3.5-year
-
candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
-
for heating due its lower unit cost and greenhouse gas emissions compared to alternative fossil fuels and electricity. Emissions from the combustion of natural gas, however, are fixed, and gas, unlike
-
funded PhD position is available to evaluate variation in spinal treatments using engineering methods. Specifically, the project will develop and validate novel computational testing methods to evaluate
-
, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
-
relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
-
Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
-
promoting fraudulent cryptocurrency and investment opportunities, whilst engineering giant Arup was defrauded of £20m through an elaborate deepfake video call supposedly from the Global CFO to a Hong Kong