Postdoc: Privacy-Focused Genomics & Graph Algorithms
University of Cambridge
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Job summary
The University of Cambridge invites applications for a Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy in the Department of Applied Mathematics and Theoretical Physics. The successful candidate will join Dr Gamze Gursoy’s group to develop privacy-preserving methods for human pangenome references.
Applicants should hold a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, or genomics and have strong programming
Qualifications
- PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or a related field.
- Strong quantitative, computational, or methodological research experience.
- Strong programming skills and willingness to work across disciplines.
- Experience in privacy or differential privacy is desirable.
Responsibilities
- Develop mathematical and computational methods for privacy-preserving genome references.
- Collaborate with interdisciplinary teams and publish findings.
- Contribute to project shaping and benchmarking on genomic data.
- Present work at seminars and conferences.
Skills
Education
Job description
The University of Cambridge invites applications for a Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy in the Department of Applied Mathematics and Theoretical Physics. The successful candidate will join Dr Gamze Gursoy’s group to develop privacy-preserving methods for human pangenome references.
Applicants should hold a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, or genomics and have strong programming
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