Sort by
Refine Your Search
-
Category
-
Employer
- Newcastle University
- The University of Manchester
- University of Bedfordshire
- University of East Anglia
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University;
- Oxford Brookes University
- University of Birmingham
- University of Exeter
- University of Plymouth
- University of Sheffield
- University of Surrey
- University of Warwick
- 4 more »
- « less
-
Field
-
state estimation methods, including Extended/Unscented Kalman Filters and particle filters. Knowledge of battery degradation, ageing, and state estimation (SOC, SOH, SOP), including diagnostics and
-
with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
-
‑dependent data is often unavailable and many traditional monitoring methods are too resource‑intensive or unsuited to the complex, delicate habitats used by juvenile fishes. This project aims to offer both
-
an important part of a large international medical-device industry, creating substantial demand for new methods of obtaining physiological information accurately, continuously and with low-power sensing
-
scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
-
Develop and implement motor-twin models for BLDC/PMSM drives, including parameters and state estimation. Deliver reduced-order high-fidelity electrical machine modelling methods suitable for simulation, HIL
-
Parametric integrators approximate solutions of (high-dimensional) partial differential equations by restricting the numerical approximation to a closed form that nonlinearly depends on, and is
-
to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
-
experiments and policy-capturing methods may be used to compare interviewer judgements with evidence-based outcome measures. The project will also explore machine-learning, multimodal data analysis, computer
-
to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and