Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- University of East Anglia
- Imperial College London;
- University of Exeter
- University of Exeter;
- The University of Manchester
- University of Cambridge
- Loughborough University
- Swansea University
- UCL
- University of Birmingham;
- University of Cambridge;
- University of Warwick
- Bangor University
- Manchester Metropolitan University;
- The University of Edinburgh;
- University of East Anglia;
- University of Sheffield
- University of Surrey
- ;
- AALTO UNIVERSITY
- Edinburgh Napier University;
- Loughborough University;
- Manchester Metropolitan University
- Swansea University;
- The University of Manchester;
- University of Birmingham
- University of Bradford;
- University of Bristol
- University of Leeds
- University of Nottingham;
- University of Oxford;
- University of Plymouth
- University of Warwick;
- Abertay University
- City St George’s, University of London
- European Magnetism Association EMA
- KINGS COLLEGE LONDON
- King's College London
- Liverpool John Moores University
- Newcastle University;
- Nottingham Trent University;
- Oxford Brookes University
- The Open University;
- The University of Edinburgh
- Ulster University
- University of Bristol;
- University of Essex
- University of Hull;
- University of Liverpool
- University of Liverpool;
- University of Oxford
- University of Plymouth;
- University of Reading;
- University of Sheffield;
- University of Surrey;
- University of York;
- 49 more »
- « less
-
Field
-
modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
-
intelligence, NLP, machine learning, or a related field Experience with Python and Generative AI libraries (e.g., Huggingface Transformers) Knowledge of Multimodal Generative AI models and their corresponding
-
processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
-
Software Development: Building the Next-Generation Trust Maturity Model Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development
-
Investment technology, ethics and strategy Equity and other asset classes Financial econometrics and machine learning. Corporate finance and accounting Corporate governance and shareholder value Corporate
-
including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
-
treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations
-
), computation (bioinformatics, machine learning, statistical analysis), working with animals (radio-tracking, animal handling/sampling), and deep knowledge of evolutionary biology and gerontology. The Norwich
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
to learn laboratory methods for analysis of relevant BGC parameters. Training: You will be based in the Polar Oceans Team at British Antarctic Survey, a highly active research team focused on both