Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- KINGS COLLEGE LONDON
- University of Birmingham
- ;
- Imperial College London
- King's College London
- University of Leeds;
- Plymouth University
- UCL;
- UNIVERSITY OF SURREY
- University of Oxford
- Aston University
- Aston University;
- City University London
- Queen's University Belfast
- Queen's University Belfast;
- The University of Southampton
- University of Bath;
- University of Southampton;
- ; University of Oxford
- EMBL-EBI - European Bioinformatics Institute
- Lancaster University
- Lancaster University;
- NORTHUMBRIA UNIVERSITY
- Northumbria University;
- Nottingham Trent University
- QUEENS UNIVERSITY BELFAST
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- University College London
- University of Bath
- University of Bristol
- University of Bristol;
- University of Exeter
- University of Glasgow
- University of Hertfordshire;
- University of Leeds
- University of London
- University of Manchester
- University of Nottingham;
- University of Plymouth;
- University of Stirling
- University of Stirling;
- 36 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
-
datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
-
desirable with a willingness to learn new skills. The post holder will be required to work independently and as part of a team and be computer literate with excellent communication skills. This is an
-
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
-
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
-
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
-
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
-
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
-
developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will