Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia
- Newcastle University
- University of Nottingham
- University of Exeter
- University of Warwick;
- University of Cambridge;
- The University of Manchester
- University of Cambridge
- University of Warwick
- University of Birmingham
- UNIVERSITY OF VIENNA
- University of Surrey
- Manchester Metropolitan University
- Swansea University
- AALTO UNIVERSITY
- University of Oxford
- University of Newcastle
- Abertay University
- Durham University
- Manchester Metropolitan University;
- Newcastle University;
- Oxford Brookes University
- University of Sussex
- ;
- Cranfield University
- European Research University
- Imperial College London
- King's College London;
- University of Bedfordshire
- University of Bristol
- University of Liverpool
- University of Manchester
- University of Plymouth
- University of Sheffield
- Biology Centre CAS
- City St George's, University of London (Tooting);
- City St George’s, University of London
- Harper Adams University
- Heriot-Watt University
- Imperial College London;
- King's College London
- London School of Economics and Political Science;
- Loughborough University;
- Royal Holloway, University of London
- Swansea University;
- The Rosalind Franklin Institute
- The University of Edinburgh
- The University of Edinburgh;
- UWE, Bristol
- UWE, Bristol;
- University of Bath;
- University of Birmingham;
- University of Chichester
- University of Dundee;
- University of East Anglia;
- University of Exeter;
- University of Glasgow
- University of Kent
- University of Oxford;
- University of Plymouth;
- University of Salford
- University of Sheffield;
- University of Strathclyde
- University of West London
- 54 more »
- « less
-
Field
-
This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven
-
Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
-
develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
-
Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess
-
healthy despite being at high genetic risk of dementia? This project will use cutting-edge genetic and molecular data from large human biobanks to identify molecular factors that help protect against
-
understanding with language-based reasoning. Process micro-facial expression data more efficiently in computer vision and vision language models. Create a language-guided representation for subtle facial motion
-
Supervisor: Dr Tim Halim Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups
-
biomarkers in breast cancer by systems pathology and deep learning". For further information about the research group, including their most recent publications, please visit their website at www.ali-lab.co.uk
-
filters and observers, for real-time applications. Proficiency in MATLAB and Simulink for modelling, simulation, and validation using experimental or real-world data. Strong analytical, independent research
-
sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI