Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
-
position will support this established research programme with HF engineering, HF antenna modelling, design and fabrication. Next-generation OTHR systems are increasing the ability to detect and track
-
programmes and technical guidance materials. Specialist tasks for the facility will include: Testing and validation of manufactured and procured kit. Implementation of antenna calibration system
-
inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
-
of existing image analysis software and generation of bespoke algorithms for advanced image analysis. This will typically require coding expertise in languages such as MATLAB, R and/or Python and familiarity
-
to apply it in selected poor-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging
-
development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
-
and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
-
the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings