PhD Studentship in Codon Usage and Protein Synthesis

1 month ago

Cambridge, Cambridgeshire, United Kingdom University of Cambridge Full time
Project Overview

The University of Cambridge is seeking a highly motivated PhD student to work on a project entitled "Unlocking the code within the code: Using AI to decipher the role of codon usage in protein synthesis and gene regulation". This project aims to unravel the underlying mechanism by which codon-level information regulates translation using artificial intelligence (AI) techniques.

Research Group

The research group led by Dr. Susanne Bornelöv at the Cancer Research UK Cambridge Institute (CRUK CI) focuses on understanding the fundamental biology of cancer and translating these findings into the clinic to benefit patients. The group uses computational methods to study the inner workings and control of biological systems.

Project Details

The genetic code contains 61 codons encoding 20 amino acids, and most amino acids are therefore encoded by two or more 'synonymous' codons. Despite producing the same protein, the choice of one synonymous codon over another plays an important role in gene regulation. This project will use AI to study the regulation of translation and understand how codon-level information affects protein synthesis.

Methodology

The project will employ cutting-edge deep learning techniques, such as foundation models, to study the regulation of translation. Foundation models, such as those underlying ChatGPT, are trained on a vast array of data and are capable of generalising across a multitude of problems. The primary challenge lies in making models that accurately capture the complexities of biological systems.

Preferred Skills/Knowledge

The ideal candidate will have a strong background in computational biology, machine learning, or a related field. Experience with deep learning techniques and programming languages such as Python or R is highly desirable.

Funding and Eligibility

The studentship is open to both UK and overseas students. Applicants must hold or expect to gain a First/Upper Second Class degree (or equivalent) in a relevant subject from any recognised university worldwide.

How to Apply

To complete your online application, you will need to answer/provide the following:

  • Choice of project and supervisor
  • Course-specific questions
  • Research Experience (up to 2,500 characters)
  • Statement of Interest (up to 2,500 characters)
  • Supporting documents (academic transcripts, evidence of competence in English, details of two academic referees, CV/resume)

The closing date for applications is 31st October 2024 with interviews expected to take place in January 2025.

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