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Visualising Complex Biomedical Data Research Scholarships
3 weeks ago
Research Opportunity: Visualising Complex Biomedical Data
We invite applications for a fully funded PhD scholarship position in the field of information visualisation, bioinformatics, and the Semantic Web. The successful candidate will conduct research at the intersection of these disciplines to develop novel visualisation techniques.
The Gene Ontology is a comprehensive biomedical ontology describing genes and gene products under three categories: biological process, cellular components, and molecular functions. Our project aims to leverage domain knowledge captured in ontologies to create high-quality layouts for GO-LEGO and its integration with SBGN.
Key Responsibilities:
- Conduct research at the intersection of information visualisation, bioinformatics, and the Semantic Web.
- Develop novel visualisation techniques for GO-LEGO and its integration with SBGN.
- Collaborate with experts in the field to advance our understanding of complex biomedical data.
Required Skills and Qualifications:
- Excellent academic track record in computer science, bioinformatics, or a related field.
- Strong programming and analytical skills.
- Research experience in ontologies, knowledge representation, bioinformatics, or information visualisation is highly advantageous.
Benefits:
- Tenable for up to four years, dependent on satisfactory progress and availability of funding.
- Opportunity to work with a team of experts in the field of information visualisation, bioinformatics, and the Semantic Web.
Others:
Applicants should have excellent communication and collaboration skills to work effectively with the research team.