Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- ; The University of Manchester
- Cranfield University
- University of Nottingham
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- ; University of Oxford
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Bristol
- ; University of Reading
- ; University of Sheffield
- ; University of Surrey
- ; University of Cambridge
- Newcastle University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Swansea University
- ; University of East Anglia
- ; University of Leeds
- ; Aston University
- ; Brunel University London
- ; Cranfield University
- ; Durham University
- ; Imperial College London
- ; Loughborough University
- ; Midlands Graduate School Doctoral Training Partnership
- ; The University of Edinburgh
- ; UWE, Bristol
- ; University of Bradford
- ; University of Essex
- ; University of Exeter
- ; University of Salford
- ; University of Stirling
- ; University of Sussex
- ; University of York
- Harper Adams University
- University of Exeter
- University of Manchester
- 32 more »
- « less
-
Field
-
address: Dr Fahad Panolan: f.panolan@leeds.ac.uk Project summary The Algorithms group at the University of Leeds (UK) is offering a fully funded 3.5-year PhD studentship on Parameterized Complexity and
-
integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
-
Kyropoulou and will work in areas related to (Theoretical) Computer Science, Algorithmic Game Theory, and/or Fair Division with potential applications in Blockchain in the context of the EPSRC funded research
-
Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
-
abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and
-
Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
-
Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
-
for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
-
Research Studentship in ‘Deformation and fracture of TRISO fuel particles’ 3.5-year DPhil studentship Supervisor: Prof Dong Liu, Prof Emilio Martinez-Paneda About the Project The proposed PhD
-
the supervisors, Dr Lewis - david.lewis-4@manchester.ac.uk and Prof Freer -robert.freer@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and