Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Ellison Institute of Technology
- Francis Crick Institute
- Queen Mary University of London
- University of Sheffield
- University of Oxford
- CRUK Manchester Institute
- Cranfield University
- MRC Laboratory of Medical Sciences
- MRC Laboratory of Molecular Biology
- University of Exeter
- Wellcome Trust Sanger Institute
- embl
- LIVERPOOL JOHN MOORES UNIVERSITY
- Liverpool John Moores University
- UCL
- UNIVERSITY OF SOUTHAMPTON
- University of Bristol
- University of Reading
- CRUK Scotland Institute
- EMBL
- Earlham Institute
- King's College London
- Nottingham Trent University
- The University of Manchester
- The University of Southampton
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of Edinburgh
- University of Leeds
- University of Liverpool
- University of Nottingham
- University of York
- Wellcome
- 23 more »
- « less
-
Field
-
Research Assistant to lead the bioinformatics framework for a high-impact project. You will analyse existing spatial transcriptomics datasets to unlock fresh insights into murine Autosomal Dominant
-
bioinformatics analysis, advanced statistical analysis, designing and executing experiments, use flow cytometry, handling phage, run infection experiments. Please ensure you read the Job Description
-
team (other PDRAs and PhDs) led by Professor Evers at LJMU but also collaborate more widely with both the project team and parallel projects the LJMU team is working on linked to sustainable management
-
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
-
atherosclerosis. Experiments will involve culture of human smooth cells and isolation of human neutrophil microvesicles, confocal microscopy, flow cytometry, RNAseq, bioinformatics, ELISA, and other
-
collaborate more widely with both the project team and parallel projects the LJMU team is working on linked to sustainable management of UK lowland peat agricultural land. As such, being a strong team
-
, computational biology, bioinformatics, cancer biology, genomics or a closely related discipline. You will possess strong computational research skills and demonstrable experience analysing large
-
related fields. Skilled in bioinformatics and statistical analyses (using R and/or Python) for population genetic analyses and population modelling. In return, we offer an excellent benefits package
-
(including spatial biology, genomics, proteomics, immunopeptidomics), immunology (including machine learning, bioinformatics, preclinical validation) and clinical development (including trial design
-
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including