Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- Durham University
- KINGS COLLEGE LONDON
- University of Oxford;
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of London
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Wolverhampton
- ;
- King's College London;
- Nature Careers
- University of Cambridge;
- University of Glasgow
- University of Liverpool;
- University of Wolverhampton;
- Aarhus University;
- Atlantic Technological University;
- Birkbeck, University of London;
- Brunel University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Charles University;
- Durham University;
- Ellison Institute of Technology, Oxford Limited
- Heriot Watt University
- Heriot-Watt University;
- Manchester Metropolitan University
- Queen Mary University of London;
- Royal College of Art
- The University of Edinburgh
- UNIVERSITY OF EAST LONDON
- University of Bradford;
- University of Bristol;
- University of Dundee;
- University of Durham
- University of Greenwich
- University of Greenwich;
- University of Kent;
- University of Leicester
- University of Leicester;
- University of West London
- jobs.ac.uk
- 37 more »
- « less
-
Field
-
sequencing, spatial and single-cell multi-omics. This research could deepen the fundamental knowledge and promote translational/preclinical development. You must have a proactive and adaptable approach to work
-
analyses of circuit development, and cutting-edge direct RNA sequencing. The successful applicant will work closely with the group leader and other team members, including a research assistant and a PhD
-
frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
-
aligned with the objectives of the IDEAS PRTP (104755-atu-research-office-brochure-ideas-faa.pdf ). Catalysing Research and Innovation for Regional Prosperity: RISE@ATU ATU’s transformative and ambitious TU
-
longitudinally collected sequencing datasets (both Illumina and Oxford Nanopore) of clinical isolates that can be linked to electronic healthcare record data and/or metagenomic data. These unique datasets provide
-
cloud or distributed computing environments. Familiarity with self-supervised and contrastive learning techniques for aligning text and images (e.g., CLIP, SimCLR). Clinical experience, e.g., interaction
-
between multiple organoid models. You will contribute intellectually to the development of the research and help shape the wider research programme. Responsibilities will also include helping with
-
between the two linked studies as well as taking the lead in the large-scale qualitative secondary analysis of interview data from multiple sources. In this role you will be expected to contribute
-
. Familiarity with self-supervised and contrastive learning techniques for aligning text and images (e.g., CLIP, SimCLR). Clinical experience, e.g., interaction with clinicians and/or handling of patients
-
or mechatronic design and analysis • Ability to work as part of an extended team in multiple disciplines and locations • Ability to identify research objectives and subsequently conceive, plan and