Postdoctoral Fellow (ESPOD) at the EMBL-EBI, Hinxton near Cambridge, UK
The postdoctoral position with a strong computational background is available at the Birney research group at EMBL-EBI to work on a new ERC funded project in collaboration with the University of Heidelberg – IndiGene.
- A major part of this work is the analysis of complex phenotyping measurements for genetic association testing.
- The optimization and/or development of reliable image processing methods for extracting robust measurements from high resolution, complex imaging datasets will be required.
- These imaging assay types include CT-scans of whole adult fish, high-resolution/high-throughput embryo imaging and complex free-swimming videos.
- There will also be a need for detailed experimental protocols to be designed and agreed with laboratory staff, maintaining the essential link between experimental work and computational analysis. Developing well planned experimental designs for large-scale phenotyping assays and analysis is an important part of the role.
- hold a Ph.D. in Bioinformatics, Physics, Computer Science, or related fields and will have a proven track record in computational data analysis.
- You should be skilled at developing software in a Unix-based environment as well as having an awareness of good computational practices and experimental design.
- Knowledge of current machine learning-based methods would be beneficial. Experience in database design and implementation is not required but would be considered as an advantage.
- The successful applicant will be part of a highly collaborative team working between groups at EMBL-EBI and the University of Heidelberg. There will be regular project meetings and interaction with both computational and laboratory staff so the ability to present results and discuss ideas; good interpersonal skills will be beneficial. There will also be the opportunity to take part in a number of field trips to Japan to help design and setup phenotyping assays on wild medaka fish.
Year 1 Stipend (£2,829.64 net per month)
|Subject areas||Life Sciences, Biology, Oncology|
|Eligibility||Open for international students|
|Deadline||20 April 2020|