Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- AALTO UNIVERSITY
- University of Cambridge
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- Durham University
- Heriot Watt University
- City University London
- Loughborough University
- University of Glasgow
- University of Liverpool
- University of London
- ; Austrian Academy of Sciences
- ; Technical University of Denmark
- ; University of Liverpool
- DURHAM UNIVERSITY
- Imperial College London
- King's College London
- Nottingham Trent University
- University of West London
- 11 more »
- « less
-
Field
-
Experience in analysing drugs and metabolites from human breastmilk Competency in using computer software to collect and process data, e.g. use of Excel, statistical software and machine learning approaches
-
projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
-
Research Associate to work on an industry-focused supply chain modelling and analytics project. The post-holder will have expertise in optimisation modeling, machine learning techniques, excellent
-
social care, and investigating the use of reasonable adjustments to reduce healthcare inequalities, and a novel Machine Learning workstream to develop an intervention which may be implemented in routine
-
of influential knowledge leadership bringing the School together with students, business and society in learning to make a difference. Over the last five years ULMS has engaged in extensive recruitment of academic
-
team working with epidemiologists, parasitologists, mathematicians, machine learning scientists, laboratory technicians, field assistants, health practitioners/policymakers, and global health ethicists
-
) Advanced statistical evaluations (in particular machine learning-based analyses and research syntheses such as scoping/systematic reviews, meta-analyses and meta-science approaches) Leading functions in data
-
optimisation modeling, machine learning techniques, excellent programming skills, and a strong track record of developing both academic and publicly facing research outputs. This role is based
-
. The post-holder will have expertise in optimisation modeling, machine learning techniques, excellent programming skills, simulation modeling and a strong track record of developing both academic and publicly
-
Intelligence (AI) and development of Machine Learning (ML) models and Federated Learning. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent