290 data-"https:"-"https:"-"https:"-"https:"-"Inserm" Postdoctoral positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Oxford;
- King's College London
- University of London
- KINGS COLLEGE LONDON
- University of Cambridge;
- DURHAM UNIVERSITY
- Durham University
- University of Liverpool
- Nature Careers
- Queen Mary University of London;
- ;
- Durham University;
- John Innes Centre, Norwich;
- LIVERPOOL JOHN MOORES UNIVERSITY
- University of Reading;
- Aarhus University
- Cardiff University
- European Magnetism Association EMA
- Imperial College London
- Lund University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Edinburgh;
- University of Bath
- University of Exeter;
- University of Leicester
- University of York;
- AALTO UNIVERSITY
- Anglia Ruskin University;
- Bournemouth University;
- Edge Hill University;
- Imperial College London;
- King's College London;
- Lancaster University
- Loughborough University
- Medical Research Council
- Oxford Brookes University;
- Rashid Ganiev
- SOAS University of London;
- Scotland's Rural College (SRUC);
- St George's, University of London;
- Technical University of Denmark
- University of Birmingham
- University of Bradford;
- University of Dundee;
- University of Exeter
- University of Glasgow;
- University of Liverpool;
- University of Nottingham
- University of Reading
- VIN UNIVERSITY
- jobs.ac.uk
- 43 more »
- « less
-
Field
-
participate in the development of a high-throughput data analysis pipeline and the development and testing of hypotheses. Key responsibilities Leading the development of mathematical models of post
-
research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
-
situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and chemical information, enabling deeper understanding
-
Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools
-
, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
-
needed for carrying out experiments, designing and running experiments, organising, analysing and interpreting data and sharing data with the wider team, writing manuscripts about key findings. They will
-
project is supported by a British Academy Global Professorship awarded to Sian Halcrow. The aims of the project are Assay a wide range of collections, establishing information on acquisition and origin
-
, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
-
identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
-
chemical information, enabling deeper understanding of fibres used in next‑generation battery and photovoltaic applications. You will work closely with academic collaborators and industry partners, and