Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- University of London
- University of Cambridge
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Liverpool
- King's College London
- UNIVERSITY OF VIENNA
- ; CRUK Scotland Institute
- ; Technical University of Denmark
- Imperial College London
- Nature Careers
- Queens' College Cambridge
- University of Lincoln
- 5 more »
- « less
-
Field
-
integration of multi-omics data Experience or aptitude for bioinformatics A PhD in a relevant field (or equivalent level of experience) An interest on working on aquaculture production systems
-
communication skills Computer skills (Bioinformatics analysis of ‘omics’ datasets * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs
-
interest for cell culture model systems, signal transduction and bioinformatics Methodological skills: chromatography, mass spectrometry, basic knowledge of bioanalytical chemistry Expertise on data analysis
-
cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
-
We are recruiting a postdoctoral research scientist to lead virus evolution and bioinformatic data analysis for our program on wastewater surveillance for pandemic pathogens. The world has never
-
Nature Comms 2022) and clustering of rare cell populations (Martens, Bioinformatics 2023). The post holder will have the main responsibilities of analysing genomics, transcriptomics and spatial
-
findings, and represent the group at meetings. A working knowledge of bioinformatics is also essential. One or more first-author scientific publications, experience in protein purification and flow cytometry
-
analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
-
, stable isotope tracers, medical imaging). Experience with molecular biology techniques, stable isotope tracers methodologies, GCMS desirable. Familiarity with bioinformatics and computational biology
-
expansion, reveal genetic modifiers and identify biomarkers of myotonic dystrophy type 1 and related disorders. The successful candidate will provide molecular biological, genetic, bioinformatic, and data