Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Nottingham
- ;
- Imperial College London
- The University of Southampton
- University of Leeds;
- Queen's University Belfast
- UCL;
- UNIVERSITY OF SURREY
- University of Leeds
- University of Oxford
- Aston University
- Aston University;
- City University London
- King's College London
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast;
- University of Bath;
- University of Bristol
- University of Southampton;
- ; University of Oxford
- EMBL-EBI - European Bioinformatics Institute
- Lancaster University
- Lancaster University;
- Nottingham Trent University
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- University College London
- University of Bath
- University of Bristol;
- University of Cambridge
- University of Exeter
- University of Glasgow
- University of Hertfordshire;
- University of London
- University of Nottingham;
- University of Plymouth;
- University of Sheffield
- University of Stirling
- University of Stirling;
- Utrecht University
- Xi'an Jiaotong - Liverpool University
- 37 more »
- « less
-
Field
-
candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
-
Machine Learning. You can find out more about the potential content that these might include here . There will also be opportunities to contribute to the development of associated new MSc programmes in
-
implementing the Grade 11 module of ICCS, examining civic learning among older adolescents, particularly in vocational education pathways. You will engage in international comparative research, applying advanced
-
statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your
-
turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use
-
to treatment, population health monitoring, workforce development and leadership, policy, and advocacy. Background The Robotics, Autonomy and Machine Intelligence (RAMI) Group led by Prof Nabil Aouf is dedicated
-
implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
-
transferring learning from other geographic regions and data types, machine learning methods, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work
-
implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
-
Manufacturing Research Hub in Robotics, Automation & Smart Machine Enabled Sustainable Circular Manufacturing & Materials (RESCu-M2), led by the University of Birmingham. The Hub aims to transform the sustainable