Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Bath
- Heriot Watt University
- University of Cambridge
- Imperial College London
- Nature Careers
- King's College London
- University of Manchester
- UNIVERSITY OF SURREY
- University of Bristol
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of London
- Aston University
- Cardiff University
- Durham University
- Lancaster University
- Nottingham Trent University
- University of Leicester
- University of Surrey
- VIETNAMESE-GERMAN UNIVERSITY
- Manchester Metropolitan University
- Ulster University
- University of Newcastle
- Cranfield University
- DURHAM UNIVERSITY
- University of West London
- AALTO UNIVERSITY
- King's College London;
- Kingston University
- Medical Research Council
- Oxford Brookes University
- Oxford Brookes University;
- The University of Manchester;
- University of Greenwich
- University of Nottingham
- University of Reading
- VIN UNIVERSITY
- Wenzhou Business College
- ; Queen Mary University of London
- ; University of Sheffield
- ; University of Southampton
- ; University of Sussex
- Birmingham City University
- Falmouth University
- Harper Adams University
- Hult
- Loughborough University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- Technical University of Denmark
- The University of Edinburgh;
- The University of Southampton
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SOUTHAMPTON
- University of Exeter
- University of Hull
- University of Leicester;
- University of Worcester
- University of the West of England
- 54 more »
- « less
-
Field
-
PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
-
cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE’s
-
an expert in the use of advanced statistical inference and machine learning methods for the analysis of omics datasets. You will work with a team of data scientists in Manchester and Oxford to create tissue
-
operation, aligned with financial and operational incentives. The ideal candidate will have: A PhD in Computer Science or a related field Experience in developing and evaluating reinforcement learning systems
-
the Centre’s datasets and using data analytics and machine learning, this Centre strand will build a blended data resource that can help to gauge the prevalence, forms, and distribution of slavery in wars
-
surgical navigation during robotic-assisted surgical task execution; Machine Learning (ML) for multimodal tissue characterisation for computer-assisted diagnosis and decision making. The post is funded by
-
Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
-
omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in developing sophisticated computational pipelines, integrating complex multi-omics
-
parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
-
the Safety and Surveillance Group and the wider Agency. The successful candidate will have: A PhD in Computer Science, Statistics, Machine Learning, Data Science or a similar quantitative discipline or