Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KINGS COLLEGE LONDON
- Nature Careers
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- ;
- UCL;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- University of Cambridge
- Cardiff University
- College of Chemistry and Molecular Engineering, Peking University
- EMBL-EBI - European Bioinformatics Institute
- King's College London
- QUEENS UNIVERSITY BELFAST
- Technical University of Denmark
- The University of Edinburgh;
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University College London
- University of Glasgow
- University of London
- University of Southampton;
- University of Sussex;
- 14 more »
- « less
-
Field
-
of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
-
, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics
-
data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
-
. About you Strong quantitative research skills with hands-on experience are essential. You must have experience in application of bioinformatics pipelines to omics data (outside educational settings). You
-
The responsibilities may include some but not all of the responsibilities outlined below. Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project
-
comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
-
population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
-
employment). Extensive experience in handling and analysing large-scale genomic datasets. Demonstrated experience in developing bioinformatics pipelines and computational workflows. Track record
-
, statistical genetics, genomics, genetic epidemiology, and bioinformatics as well as in-depth knowledge of genomics and relevant software. The candidate will be required to demonstrate relevant research and
-
search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science