Research Associate- Machine Learning and AI in Genomics (Computational) University of Cambridge, UK

Gates Cambridge Scholarship Programme for PhD in Cambridge, UK

Research Associate- Machine Learning : We are seeking a highly motivated and talented postdoctoral research associate to join our team at the CRUK Cambridge Institute (part of the University of Cambridge) to study genome organisation and regulation using deep learning approaches.

Designation: Research Associate

Research Area: Machine Learning and AI in Genomics (Computational)

Location: CRUK Cambridge Institute (part of the University of Cambridge), UK

Eligibility/Qualification: Applicants should have a PhD (or be about to receive one) in a relevant quantitative discipline. Substantial experience in deep learning or other machine learning techniques, an ability to drive a project independently, and solid programming/scripting skills are required. Prior work involving any aspect of gene regulation would be highly beneficial.

QualificationRequirement
PhD or about to receive oneRequired
Relevant quantitative disciplineRequired
Experience in deep learning or other machine learning techniquesRequired
Ability to drive a project independentlyRequired
Solid programming/scripting skillsRequired
Prior work involving any aspect of gene regulationHighly beneficial

Job Description: You will be part of a computational team, led by Dr Susanne Bornelöv, which studies gene regulation using various approaches including machine learning, evolutionary genomics, and sequencing bioinformatics. Your project will focus on using deep learning and other statistical and machine learning approaches to understand the role of codon usage in gene regulation. The ultimate aim is to understand how different parts of an mRNA contribute to mRNA localisation, stability and translation, as well as to protein function. This will be achieved through innovative computational approaches, including building in silico models that will enable us to systematically probe the effect of differences in codon usage and nucleotide sequence.

As a member of our team, you will have the opportunity to contribute your own ideas to ongoing research activities. You will also have the freedom to undertake independent research in the context of the general research area of the group.

How to Apply: Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online. Please direct any informal enquiries to Dr Susanne Bornelöv (susanne.bornelov@cruk.cam.ac.uk). Please quote reference SW36413 on your application and in any correspondence about this vacancy.

Last Date for Apply: The closing date for applications is 29 May 2023. Interviews will be held in the beginning of June. The starting date is flexible, but ideally in September.

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