Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Newcastle University
- ;
- Cranfield University
- Edge Hill University
- Imperial College London
- The University of Manchester
- UNIVERSITY OF MELBOURNE
- University of Cambridge
- University of Cambridge;
- University of East Anglia
- University of Essex;
- University of Newcastle
- University of Nottingham;
- University of Warwick
- 5 more »
- « less
-
Field
-
Doctoral Training Grant Funding Information This funding model includes a 48-month funded PhD Studentship, set in-line with UK Research & Innovation values. For 2026/7, this will be £21,805 per year
-
hardware malfunctions. WP2 - Dynamic Validation Framework: This WP utilizes formal methods, specifically probabilistic model checking, to provide safety guarantees and verify AI behavior against constraints
-
leads to persistent antigen exposure and altered adaptive immune priming. To address this, we have developed two novel engineered neoantigen models that enable precise dissection of antigen-specific
-
people but not others. Better ways to match prevention to the individual are needed. This PhD addresses one defined question: why some people with AF develop left atrial thrombus and embolic events while
-
-enhanced) models for laser-material interaction, gas dynamics and phase change Implement GPU-efficient algorithms and meshing strategies for substantial speed-ups Validate against MTC laser drilling use
-
signal processing methods and a modelling environment, aided by unique hardware-in-the loop, to assess the detection and estimation algorithm performance and determine optimal multistatic configurations
-
of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. Eligibility criteria The project will suit students with strong
-
the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
-
challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
-
for applications across automotive, aerospace, and power generation. Starting from modelling and parametric design of complex 3D laminated and hybrid cores, the PhD student will design and develop new motor