Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- The University of Southampton
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford
- KINGS COLLEGE LONDON
- University of London
- UNIVERSITY OF MELBOURNE
- King's College London
- Queen's University Belfast
- University of Leeds
- Imperial College London
- UNIVERSITY OF SURREY
- University of Cambridge
- Brunel University
- CRANFIELD UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- University of Sheffield
- Cardiff University
- University of Bristol
- ; Technical University of Denmark
- City University London
- University of Manchester
- University of Surrey
- St George's University of London
- University of Glasgow
- ; University of Cambridge
- University College London
- University of Newcastle
- Cranfield University
- Kingston University
- Manchester Metropolitan University
- University of Hull
- University of Leicester
- University of Liverpool
- University of Stirling
- ; Maastricht University
- ; UCL
- ; University of Aberdeen
- ; University of Glasgow
- ; University of Nottingham
- ; University of Oxford
- ; University of Sussex
- ; University of Warwick
- AALTO UNIVERSITY
- Aston University
- Birmingham City University
- Durham University
- Nottingham Trent University
- Nuffield College
- Plymouth University
- Sheffield Hallam University
- UNIVERSITY OF GREENWICH
- University of Greenwich
- University of the West of England
- 48 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Chemistry
- Psychology
- Business
- Materials Science
- Mathematics
- Environment
- Humanities
- Earth Sciences
- Electrical Engineering
- Social Sciences
- Law
- Arts and Literature
- Linguistics
- Philosophy
- Physics
- Education
- Sports and Recreation
- 13 more »
- « less
-
conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
-
cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
-
. Postdoctoral Fellows are expected to lead their own projects, contribute to other projects on a collaborative basis (both in the lab and with external collaborators) and guide PhD students in their research
-
annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
-
and statistical methods. A high level of statistical competency in a range of classical and modern psychometric approaches is essential. It is anticipated that the Senior Research Fellow will undertake
-
of the project’s four research sites, using feminist, creative, and participatory methods including qualitative interviews, counter-mapping, and Photovoice. They will analyse qualitative data, and
-
least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with
-
Analyse and interpret qualitative data using appropriate methods (e.g. thematic analysis) Use qualitative software (such as NVivo) to manage and code data Apply knowledge in a way that develops new
-
fidelity. This role will involve a mixed-methods approach, including quantitative and qualitative data collection, fidelity assessment, and economic modelling. The Research Fellow will work closely with
-
theory of decision-making under both risk and delay - Affective Imagination Theory (AIT). The main research objective of the grant is to combine formal and computational models with rigorous empirical