Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Cambridge
- University of Nottingham
- ; University of Leeds
- ; University of Surrey
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Birmingham
- ; University of Nottingham
- ; University of Warwick
- Imperial College London
- ; Anglia Ruskin University
- ; Aston University
- ; Cranfield University
- ; UWE, Bristol
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Southampton
- ; University of York
- Newcastle University
- University of Newcastle
- 14 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
-
PhD Studentship: Accelerating Statistical Algorithms through Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate
-
. Letz and M. Höft, "D-Band Corrugated Horn Antenna Using Multilayer Structured-Glass Technology," in IEEE Antennas and Wireless Propagation Letters, vol. 23, no. 9, pp. 2792-2796, Sept. 2024, doi: 10.1109
-
sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
-
-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
-
harness unprecedented flexibility in the distributed control of the antennas and radio-frequency (RF) systems. We propose a unique approach for strengthening the resilience of sense constellations and
-
of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
-
/ . The post offers an exciting opportunity for conducting internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming