Sort by
Refine Your Search
-
Employer
- University of Oxford
- Queen Mary University of London
- University of Oxford;
- University of Liverpool
- Imperial College London
- King's College London
- Queen Mary University of London;
- UNIVERSITY OF VIENNA
- University of Cambridge;
- AALTO UNIVERSITY
- Aston University
- Liverpool School of Tropical Medicine;
- The University of Edinburgh;
- University of Cambridge
- University of Newcastle
- University of West London
- 6 more »
- « less
-
Field
-
contribute to an international, interdisciplinary consortium project investigating ancient medical sources and Innovative modern techniques, including Microbial Genomics, Bioinformatics, AI and Machine
-
strong bioinformatic, analytical and programming and biophysical approaches to address biological questions. Applications for this vacancy should be made online and you will need to upload a supporting
-
have completed the requirements for a first degree in computer science, artificial intelligence, bioinformatics, computational biology or a related quantitative discipline before taking up
-
within the Department. Experience of working collaboratively within multidisciplinary research teams is desirable. Experience in bioinformatics and the analysis of next-generation sequencing data would
-
imaging. Bioinformatic experience/expertise is critical. The project is part of an integrated team effort involving academic and biotech laboratories across the UK and Australia. The successful candidate is
-
to completion) in a biomedical, bioinformatic or relevant subject. You must have a strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong
-
prognostic approaches are limited and show high interobserver variability. It is essential that you hold a PhD/DPhil (or close to completion) in a biomedical, bioinformatic or relevant subject. You must have a
-
and motivated researcher with a strong background in biostatistics, epidemiology, bioinformatics, computational science or a related quantitative discipline. You will have experience analysing large
-
experience in bioinformatics analysis of omics datasets, e.g. single-cell omics, including single-cell immune repertoire analysis as well as experience and knowledge of R and/or python programming
-
in neurodegenerative disease. You will work closely with the bioinformatics and proteomics teams on the data analysis. You will work to tight and moving deadlines, adopting a flexible approach