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Development of training algorithms for predicting gene expression outcomes from the distribution of RNA polymerase on genes


About This PhD Project

Project Description

Academic supervisor: Prof Jane Mellor (DPhil in Biochemistry); IBM Supervisor: Prof Lior Horesh

The processing, nuclear export and stability of the RNA molecules are pre-determined before transcription. We will use simulated profiles for nascent transcription over human genes to train an algorithm to predict mechanisms and parameters of transcription and gene expression, allowing all the downstream processes to be predicted without experimental determination of each stage.

DPhil in Computational Discovery


The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery.

This innovative course has been developed in close partnership between Oxford University and IBM Research. Each research project has been co-developed by Oxford academics working with IBM scientists. Students will have a named IBM supervisor/s and many opportunities for collaboration with IBM throughout the studentship.

Applicants who are offered places on the DPhil in Computational Discovery will be fully funded. As a minimum, the funding package will include fees at the Home/EU rate, and a stipend for UK students only at the standard Research Council rate (currently £15,009 pa) for the duration of fee liability (four years).

Applications must be received by 12 midday (UK time) on Friday 24 January 2020.

Further details of the projects and how to apply can be found here: https://www.ox.ac.uk/admissions/graduate/courses/dphil-computational-discovery?wssl=1

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