Sort by
Refine Your Search
-
Category
-
Employer
- University of Nottingham
- UCL;
- University of Birmingham
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Stirling
- Aston University
- Edinburgh Napier University;
- Imperial College London
- NORTHUMBRIA UNIVERSITY
- Northumbria University
- Plymouth University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Edinburgh;
- University of Birmingham;
- University of Cambridge
- 7 more »
- « less
-
Field
-
The NIHR Research Professorship focuses on survivor engagement, multi-sector data integration using Secure Data Environments, trauma-informed care, maternity-related health inequalities, and advancing
-
symptom trajectories and clinical outcomes (AMBIENT-BD)”, https://www.ambientbd.com/). The post holder will be a key member of the Data Analytics Research and Technology Research group (DARTH, https
-
advanced epidemiological analyses, health inequalities modelling, and SDE-based data linkage. The post holder will lead the analytical and quantitative components of WP2, including exposure–outcome modelling
-
a PhD degree in one of the following disciplines: energy systems, data analytics, quantitative methods, mathematics, engineering or other relevant discipline, have commensurate research which includes
-
practices High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability
-
qualified in relevant subject area Ability to work as part of a team to collect research data in patients Strong analytical and technical skills (e.g. in MRI physics, AI, image processing or reconstruction
-
skills in Chinese is a plus. High analytical ability to analyse and illuminate data, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research
-
the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston Guidance on AI-Assisted Applications While we cannot prevent applicants from using AI tools to support their application
-
AstraZeneca. It aims to transform antibody manufacturing using AI, automation, digital twins and advanced analytics to improve production of therapies for cancer, obesity and autoimmune conditions. Delivered
-
AstraZeneca. It aims to transform antibody manufacturing using AI, automation, digital twins and advanced analytics to improve production of therapies for cancer, obesity and autoimmune conditions. Delivered