Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Nature Careers
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- University of Nottingham
- Imperial College London
- King's College London
- University of Leeds;
- The University of Southampton
- UCL;
- UNIVERSITY OF SURREY
- University of Leeds
- University of Oxford
- Aston University
- Aston University;
- City University London
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- University of Bath;
- University of London
- University of Southampton;
- ; University of Oxford
- Brunel University
- CRANFIELD UNIVERSITY
- EMBL-EBI - European Bioinformatics Institute
- Lancaster University
- Lancaster University;
- Nottingham Trent University
- Queen's University Belfast
- Queen's University Belfast;
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- University of Bath
- University of Bristol
- University of Cambridge
- University of Exeter
- University of Glasgow
- University of Hertfordshire;
- University of Liverpool
- University of Nottingham;
- University of Plymouth;
- University of Sheffield
- 34 more »
- « less
-
Field
-
control for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine
-
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
-
: 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
-
exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
-
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
-
programming language Experience with statistical inference or machine learning methods (e.g. ABC, Bayesian modelling) A proven publication record with at least one first author publication in a peer-reviewed
-
language requirement of the UK HEI; Have a background or a proven interest in AI foundations and its application in civil and environmental engineering, including machine learning, sustainable construction, climate
-
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
-
experience of conducting quantitative research, with strong writing skills. About us The Faculty of Health at the University of Plymouth delivers exceptional clinical and academic learning, social engagement