Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Nature Careers
- University of Birmingham
- Imperial College London
- UNIVERSITY OF MELBOURNE
- CRANFIELD UNIVERSITY
- King's College London
- KINGS COLLEGE LONDON
- University of Cambridge
- University of Oxford
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University College London
- University of Exeter
- University of Nottingham
- ; Maastricht University
- ; Technical University of Denmark
- Cardiff University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- University College London (UCL)
- University of London
- University of Manchester
- 12 more »
- « less
-
Field
-
for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
-
for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
-
of Masters Programmes and a substantial number of postgraduate research students. This is an exciting opportunity to join the Computational Biology Group headed by Professor Christine Orengo. The successful
-
to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
-
artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
-
-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
-
-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
-
artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
-
to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and
-
contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and