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Machine learning for design and optimization of biomolecular systems


   School of Biological Sciences

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  Dr D Oyarzun  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

We are looking for a doctoral student to join us on a project at the interface of machine learning and biological systems. Successful candidates will join the Biomolecular Control Group (homepages.inf.ed.ac.uk/doyarzun/) led by Diego Oyarzún.

 The project will focus on machine learning approaches to predict biological function from high-throughput data, with applications in biomedicine and biotechnology. This is a drylab project focused on the development of machine learning algorithms and data processing protocols that can deal effectively with the inherent challenges of biological data such as high signal-to-noise ratio, sparse sampling, and high-dimensionality.

 Ideal candidates should have excellent academic record and passion for quantitative methods in the life sciences. We seek open-minded and creative students keen to join a multidisciplinary team. You should have excellent mathematical and computational skills, as well as outstanding presentation skills for various audiences. Applicants must hold a First Class or an Upper Second Class degree (or equivalent overseas qualification) in a discipline relevant to the project such as machine learning, applied mathematics and quantitative biology

The School of Biological Sciences is committed to Equality & Diversity: https://www.ed.ac.uk/biology/equality-and-diversity


Funding Notes

The “Institution Website” button on this page will take you to our Online Application checklist. Please carefully complete each step and download the checklist which will provide a list of funding options and guide you through the application process. From here you can formally apply online. Application for admission to the University of Edinburgh. Note that some funding bodies may have earlier closing dates so please check carefully.

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