Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Imperial College London
- Nature Careers
- University of Birmingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- The University of Southampton
- UNIVERSITY OF SURREY
- Aston University
- Aston University;
- City University London
- King's College London
- QUEENS UNIVERSITY BELFAST
- University of Leeds;
- University of London
- University of Nottingham
- University of Oxford
- ; University of Oxford
- Brunel University
- CRANFIELD UNIVERSITY
- EMBL-EBI - European Bioinformatics Institute
- European University Institute
- Lancaster University
- Lancaster University;
- Nottingham Trent University
- Plymouth University
- Queen's University Belfast
- Queen's University Belfast;
- Technical University of Denmark
- The University of Edinburgh
- UCL;
- UNIVERSITY OF MELBOURNE
- University of Bristol
- University of Cambridge
- University of Glasgow
- University of Liverpool
- University of Manchester
- University of Nottingham;
- University of Plymouth;
- University of Sheffield
- University of Southampton;
- 32 more »
- « less
-
Field
-
proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
-
web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms
-
the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
-
: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
-
machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner
-
Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
-
embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
-
-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
-
or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
-
mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home