Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- ;
- Cranfield University
- ; The University of Manchester
- University of Cambridge
- ; University of Nottingham
- ; University of Surrey
- ; Swansea University
- ; University of Warwick
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- ; University of Exeter
- ; University of Cambridge
- ; University of Reading
- ; University of Sussex
- Imperial College London
- University of Newcastle
- University of Sheffield
- ; Loughborough University
- ; University of Birmingham
- ; University of Oxford
- ; Aston University
- ; Brunel University London
- ; City St George’s, University of London
- ; Cranfield University
- ; Imperial College London
- ; King's College London
- ; Manchester Metropolitan University
- ; Newcastle University
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Copenhagen
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Leeds
- ; University of Sheffield
- Brunel University
- Durham University
- Harper Adams University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Newcastle University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF MELBOURNE
- University of Liverpool
- University of Oxford
- 38 more »
- « less
-
Field
-
that are highly controlled and potentially measured in milliseconds rather than seconds or minutes. This level of control will generate products with minimal side reactions and create the highest possible yields
-
engines. The variable rotation speeds, complex loading and operating conditions cause significant blade vibrations. These vibrations, if not properly controlled and reduced, can lead to premature blade
-
techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
-
their swimming dynamics and the mechanical deformations caused by the encapsulated active biomolecules, you will explore ways to control their motion in 3D space. Synthetic microswimmers have many potential
-
immunocompromised patients. Resistance is often acquired before patient infection through environmental exposure to fungicides, highlighting the urgent need for effective outbreak tracking and control. This PhD
-
computational models that help us interpret and control how language is generated and understood by AI systems. The selected student will join the University’s vibrant research environment and will be encouraged
-
Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
-
or joining thin-wall Titanium and Nickel alloys at high temperatures. Due to the unique material behaviours of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is
-
including biolayer interferometry, flow cytometry, high-content live cell microscopy and (in 2024) confocal microscopy. From 2025 the team will host a UK unique automated glycan synthesis platform. The
-
Control Research Institute at Faculty of Engineering which conducts cutting edge research using the Digital Twin Technology to accelerate electric propulsion system development. Applications are invited