Sort by
Refine Your Search
-
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
-
Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
-
PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
-
in an operating theatre. Benefits of joining this project: This project will give an opportunity for the student to explore the area of healthcare process modelling with a holistic perspective
-
We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
-
," PhotoniX 1 (2020). [3] M. Kenney, J. Grant, et al., "Large area metasurface lenses in the NIR region," in Modeling Aspects in Optical Metrology VII, SPIE (June 2019). View All Vacancies
-
," PhotoniX 1 (2020). [3] M. Kenney, J. Grant, et al., "Large area metasurface lenses in the NIR region," in Modeling Aspects in Optical Metrology VII, SPIE (June 2019).
-
to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
-
functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships. Generating gastruloids
-
models used in component scale CFD assessments. In particular, this concerns quantifying the effects of the heat transfer surface’s detailed topography, porosity and wettability on near-wall bubble