Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Birmingham
- University of Nottingham
- University of Birmingham;
- University of East Anglia
- The University of Manchester
- University of Exeter
- UCL
- UNIVERSITY OF VIENNA
- University of East Anglia;
- University of Exeter;
- The University of Manchester;
- Imperial College London;
- Loughborough University
- University of Cambridge
- University of Sheffield
- University of Surrey
- KINGS COLLEGE LONDON
- Newcastle University
- Swansea University
- University of Warwick
- AALTO UNIVERSITY
- Imperial College London
- Manchester Metropolitan University;
- University of Oxford;
- University of Plymouth
- University of Plymouth;
- Edinburgh Napier University;
- European Magnetism Association EMA
- King's College London
- Loughborough University;
- Manchester Metropolitan University
- Swansea University;
- The University of Edinburgh
- University of Bristol
- University of Cambridge;
- University of Glasgow
- University of Leeds;
- University of Oxford
- ;
- Bangor University
- Cranfield University;
- Durham University;
- Edinburgh Napier University
- NORTHUMBRIA UNIVERSITY
- Newcastle University;
- The University of Edinburgh;
- University of Aberdeen
- University of Bradford;
- University of Glasgow;
- University of Hull;
- University of Kent;
- University of Leeds
- University of Liverpool
- University of London
- University of Newcastle
- University of Nottingham;
- University of Reading;
- University of Salford;
- University of Strathclyde
- University of Sussex
- University of Sussex;
- University of Warwick;
- 53 more »
- « less
-
Field
-
the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
-
This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
-
, current methods for processing seaweed carbohydrates are inefficient, relying on separate enzymatic and chemical steps that lack integration, selectivity, and process control. This project will pioneer a
-
regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The reliance on cyber-physical components is growing as
-
available computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding of neurodevelopmental epilepsy. Identification of common genetic
-
manufacturing defects, such as dry spots, but also enable the development of real time control methods to adjust process parameters to maximise productivity and product quality. Working closely with
-
the carefully-controlled flame conditions. The specific objectives and work packages of the PhD project will therefore be as follows: Apply laser-induced fluorescence (LIF) of the hydroxyl radical for temperature
-
, the nature of the porosity and permeability which controls fluid flow within these rocks is poorly understood, limiting our ability to capitalise on their resource potential. Central to this problem is
-
automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
-
enteric coatings that dissolve at specific pH ranges, but these lack precision and control over release timing/location. Ingestible “smart capsules”, such as IntelliCap, have emerged as an attractive