Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- University of East Anglia
- University of Exeter
- Imperial College London;
- University of Exeter;
- The University of Manchester
- University of Cambridge
- University of Cambridge;
- University of Warwick
- Loughborough University
- Swansea University
- UCL
- University of Birmingham;
- University of Sheffield
- Bangor University
- Manchester Metropolitan University;
- The University of Edinburgh;
- University of East Anglia;
- University of Leeds
- University of Surrey
- ;
- AALTO UNIVERSITY
- Edinburgh Napier University;
- Loughborough University;
- Manchester Metropolitan University
- Swansea University;
- The University of Edinburgh
- The University of Manchester;
- University of Birmingham
- University of Bradford;
- University of Bristol
- 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;
- 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
-
, biology, or a closely related discipline Desirable experience: optics and photonics, AI/machine learning, biology, or biomedical sciences Excellent English, analytical, and problem-solving skills UK
-
* Theoretical foundations of machine learning The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and
-
erosion and subsequent effect on land-to-lake dynamics using isotope tracer and source apportionment methodology at test sites in the Winam Gulf. (2) Explore use of remote sensing data and machine learning
-
properties of representative sediment classes. · Evaluate methods for predicting sediment type and physical properties from geophysical data using machine learning. · Assess the reliability
-
properties of representative sediment classes. · Evaluate methods for predicting sediment type and physical properties from geophysical data using machine learning. · Assess the reliability
-
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
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
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
-
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
-
for their employability in applications. Additionally, machine learning methods need to be applicable to high-dimensional and to noisy data that are typically encountered in real-world applications. The aim of this project