About the Project
Here we aim to develop the computational framework to design and edit mammalian-scale chromosomes. The long-term goal is to establish a standard for genome design and data sharing to support large genome writing projects.
The student will develop efficient data structures, such as genome graphs, to add/recode/delete DNA elements in mammalian genomes, and data-fusion methods, such as deep neural networks, to automatically annotate synthetic genomic elements. He/she will also learn how to write reproducible analysis pipelines and deploy research software. The student will have the opportunity to collaborate with the Edinburgh Genome Foundry, the most advanced biofoundry in the world specialized in DNA assembly up to genome scale.
The ideal candidate has a background in computer science, computer engineering, mathematics, statistics, physics or related fields. He/she is strongly motivated to develop a competitive profile in research software engineering, machine learning, synthetic genomics, data science, sequence analysis, while working in a fast-paced environment.
If you would like us to consider you for one of our scholarships you must apply by 5 January 2020 at the latest.
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