University of Manchester from October 2024. The use of machine learning methods and molecular simulations for polymer design... (DOE) analyses. The machine learning aspects will be targeted to identify regions of uncertainty in the parameter space...
University of Manchester/biochemical assays (e.g. UV, florescence, machine learning and cell biology), structural techniques (e.g. X-ray crystallography... programme type (Research), 2024/25, Faculty of Physical Sciences and Engineering, next page select “PhD Chemistry (Full time...
University of Southamptoninitially be done manually. With machine learning, the potential to automate the identification of problematic regions... our multi-fidelity capability into parametric space. In this case, machine learning is employed to map the solution from low...
University of Manchestercomputing Collection and production of databases (DNS) for wall-bounded turbulence (to also be used for machine learning... with a dynamically adaptive grid, and a deep learning model for the closure of the sub-grid-scales terms in LES. The first step...
University of Southamptonregimes and fuels (to also be used for machine learning training in parallel projects) Investigation of interaction... type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time...
University of Southamptonsystems, machine learning, safe and ethical AI, human-AI interaction, explainable AI, participatory design, social shaping... Interest in AI ethics and safety Interest in NLP, Machine Learning, Deep Learning and their applications...
University of Warwickmanufacturing needs to be developed. Our previous work on AI & machine learning (ML) for sorting highlighted a need for practical...: MPhil/PhD Project Overview Plastic remains an invaluable material for human society in many key areas, but the challenge...
University of Warwickof generating real-world data sets. The struggle of conventional machine learning algorithms to generate or predict performance...Supervisory Team: Dr. Haris Moazam Sheikh PhD Supervisor: Haris Moazam Sheikh Project description: Mechanical...
University of Southamptontranslation processes. But LLMs result from training artificial neural networks using (statistical) machine learning techniques... learning through linguistic scaffolding. This PhD project will address two to three of the above issues (depending on the...
Northeastern University LondonPhD Studentship: Centre for Doctoral Training in Composite Materials, Sustainability and Manufacture
tools and advanced machine learning techniques will be used to help develop mitigation strategies to avoid over-conservative... from September 2024 Applications are invited to undertake a PhD programme within the Centre for Doctoral Training for Sustainable...
University of Nottinghamfrom University College London. Person specifications: Master degree in machine learning, electronics engineering or neuroscience...PhD Supervisor: Majid Zamani Supervisory Team: Dr Majid Zamani Project description: I am looking for a talented...
University of Southamptonto this, computer control (notably through neural networks and machine learning) is now emerging as a means both to implement... collaboration with NKT Photonics, there is now an opening for a PhD student to research advanced fibre amplifiers and beam...
University of Southamptonvision and deep learning. It is essential to have a good background knowledge of machine learning and computer programming...This is a full-time, funded PhD opportunity, open to both home and overseas students. Please note that only home fees...
Manchester Metropolitan Universityand machine learning algorithms would be beneficial Good communication and writing skills Self-motivated to conduct research...This is a full-time, funded PhD opportunity, open to both home and overseas students. Please note that only home fees...
Manchester Metropolitan UniversityEligibility: UK and International Funding A highly competitive School of Computing Studentship offering the award...: Graphcore IPU, Amazon Trainium, and Tesla Dojo chips. Most of the low precision arithmetic, despite being introduced for machine...
University of Leedswill develop methods to inspect wafers more effectively, using machine learning to identify critical defects in the latest... This highly innovative PhD project will develop new analysis tools for investigating semiconductor wafers and devices - focussing...
National Physical Laboratory-edge digital technologies for w-DEDAM pre-production, including machine learning, deep learning, Design for Additive... years Supervisors: Dr Jian Qin This 4-year, fully funded PhD project centres on the automation and optimisation of the...
Cranfield University