Sort by
Refine Your Search
-
Category
-
Employer
- University of Warwick;
- The University of Manchester
- University of Birmingham
- University of Exeter
- Manchester Metropolitan University
- Durham University
- University of Warwick
- Newcastle University
- University of Bedfordshire
- University of Cambridge
- University of Cambridge;
- University of Oxford
- University of Sheffield
- ;
- City St George’s, University of London
- King's College London;
- LIVERPOOL JOHN MOORES UNIVERSITY
- Manchester Metropolitan University;
- Oxford Brookes University
- The Rosalind Franklin Institute
- University of Birmingham;
- University of Bristol
- University of Nottingham
- University of Plymouth
- University of Salford
- University of Sheffield;
- University of Surrey
- University of Sussex
- 18 more »
- « less
-
Field
-
PhD Studentship: Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI About the Project As federated learning systems become increasingly embedded in high‑stakes
-
4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
-
and advanced machine learning. The project will integrate measurements from the SWOT satellite mission with Oxford's Global River Topology (GRIT) hydrography to develop verified, uncertainty-aware
-
, classics, gender studies, political science, and international studies—with cutting-edge data science techniques, including Earth Observation (EO) data analysis, machine learning, large-scale collation and
-
integrating power electronic converters and electrical machines we can use common structures and systems to greatly reduce, material usage and energy consumption. Through a multidisciplinary research approach
-
will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer science
-
AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
-
. Applicants must have the right to work in the UK. We are unable to offer visa sponsorship for this role. Candidate requirements Candidates must have expertise in developing computer vision and machine learning
-
discipline. Essential Good programming skills, preferably in Python/C#. Experience with machine learning, deep learning, or experimental AI evaluation. Interest in secure distributed AI, federated learning
-
for candidates with a background in or demonstrated ability to learn about: Bayesian methods, probabilistic machine learning or inverse modelling. Prospective applicants are encouraged to direct informal inquiries