54 machine-learning "https:" "https:" "https:" "https:" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- University of Exeter;
- Swansea University
- University of Birmingham;
- University of Cambridge
- AALTO UNIVERSITY
- Loughborough University
- Newcastle University
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Bristol
- University of East Anglia
- University of Nottingham
- University of Sheffield
- University of Warwick
- Abertay University
- Imperial College London;
- The Open University;
- The University of Edinburgh;
- The University of Manchester;
- UCL
- University of Bristol;
- University of Cambridge;
- University of East Anglia;
- University of Essex
- University of Nottingham;
- University of Sheffield;
- 17 more »
- « less
-
Field
-
. Interested candidates may want to take a look at our recent work on machine learning molecular dynamics: https://www.nature.com/articles/s41467-024-52491-3 Project 2: Non-adiabatic Molecular Dynamics
-
-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
-
of students and can include, technique development, microscopy-spectroscopy, analysis/programming (including AI and machine learning) and materials-focused studies. We use innovative high-resolutionidentical
-
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
-
will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
-
training dataset of well-studied volcanoes with known large eruptions, the project will employ statistical and machine learning (ML) methods to identify the strongest predictors of eruption magnitude
-
Energy Storage! Fully funded 4-year PhD Studentship in Chemistry - Machine Learning-Accelerated Quantum Chemical Modelling of Molecular Junctions and Surface Catalytic Reactions PhD Studentship: Taking
-
implement more effective interventions based on up-to-date predictions. The ideal candidate will have foundational knowledge of machine learning and strong self-motivation. You will be supervised by Dr
-
contribute significantly to these growing fields. This PhD position is ideal for candidates interested in the following areas of machine learning: Geometric learning: exploiting the structure of data (e.g
-
monitoring and conservation applications, while Bristol offers advanced training in machine learning, spatiotemporal modelling and AI applications to animal behaviour. Together, they provide computational