Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- KINGS COLLEGE LONDON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- King's College London
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Nottingham
- Nature Careers
- QUEENS UNIVERSITY BELFAST
- University of Oxford
- City University London
- Queen's University Belfast
- University of Glasgow
- University of Leeds
- University of Warwick;
- Aston University
- Aston University;
- CRANFIELD UNIVERSITY
- CRUK Scotland Institute
- CZECH UNIVERSITY OF LIFE SCIENCES
- College of Chemistry and Molecular Engineering, Peking University
- EMBL-EBI - European Bioinformatics Institute
- Edinburgh Napier University;
- Imperial College London
- NORTHUMBRIA UNIVERSITY
- Northumbria University;
- Queen's University Belfast;
- Technical University of Denmark
- The University of Edinburgh
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Bristol
- University of Exeter
- University of Leeds;
- University of Salford;
- University of Sheffield
- Xi'an Jiaotong - Liverpool University
- 28 more »
- « less
-
Field
-
of classification algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition
-
This is an exciting opportunity for an experienced, highly motivated individual to join our vibrant, multidisciplinary rare disease research team. This postdoc will work within a multidisciplinary
-
year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching
-
(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
-
Postdoc Society. In summary, this position will be ideal for a scientist who wishes to apply hybrid approaches to answer important research questions directly related to holistic cancer care. The successful
-
algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
-
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
-
), and Prof Thomas Sotiriou (gravitational waves, black holes, and alternative theories). At any given time, NCoG also includes about 7-8 postdocs and 25 students. Staff are active members of the LIGO
-
uses, improving the AI and MRI algorithms, and linking them with information from biological studies on tumour tissue. This project harnesses AI to improve diagnosis and clinical decision-making leading
-
year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching