Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of East Anglia
- Imperial College London;
- University of Nottingham
- AALTO UNIVERSITY
- Loughborough University
- The University of Manchester
- University of Cambridge;
- University of Sheffield
- ;
- Bangor University
- KINGS COLLEGE LONDON
- The University of Edinburgh;
- The University of Manchester;
- University of Birmingham
- University of Birmingham;
- University of Cambridge
- University of Warwick
- Edinburgh Napier University;
- Oxford Brookes University
- University of Bristol
- University of East Anglia;
- University of Nottingham;
- University of Oxford;
- University of Sheffield;
- University of Surrey
- ; The University of Manchester
- ; University of Exeter
- European Magnetism Association EMA
- Harper Adams University
- King's College London
- King's College London;
- Liverpool John Moores University
- Loughborough University;
- Manchester Metropolitan University;
- Nature Careers
- Newcastle University
- The University of Edinburgh
- UCL
- Ulster University
- University of Bradford;
- University of Essex
- University of Exeter
- University of Exeter;
- University of Leeds
- University of Liverpool
- University of Liverpool;
- University of Oxford
- University of Warwick;
- University of York
- 40 more »
- « less
-
Field
-
projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the
-
of the workflow. While the majority of the project is computer based, there is a small lab-based component in order to generate cell samples to be able to acquire the NMR data. Once proof of concept has been
-
, Src). Develop a machine learning platform to predict regulatory mechanisms in dark kinome targets (e.g., PKMYT1, RIOK1/2). Perform biochemical validation, including recombinant protein expression and
-
cell and spectroscopic analysers. Programming (e.g., R, Python) and machine learning for advanced atmospheric time-series analyses. Skills for presenting research at conferences and writing peer-reviewed
-
Matias, Adrián Villaseñor, Rowena Jacobs Topic 4-Machine Learning for Causal Inference in Health Policy Assessment for Decision Making Supervisors - Dr Julia Hatamyar and Professor Andrea Manca Topic 5
-
PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one
-
Environment - Wiley Online Library Additive Manufacturing: A Comprehensive Review Big data, machine learning, and digital twin assisted additive manufacturing: A review - ScienceDirect Full article: Achieving
-
accelerators originally designed for artificial intelligence. These accelerators achieve exceptional performance by using low precision arithmetic, which is sufficient for machine learning tasks but much too
-
avenues may include linking plankton size patterns to krill dynamics, carbon export or nutritional quality, or developing tools for rapid ecosystem monitoring using machine-learning approaches
-
of bacteria in the human gut, in-depth work with next-generation as well as 3rd generation sequencing technologies, then this PhD will be right for you. The ideal candidate will enjoy learning about metagenomic