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The Alan Turing Institute - Research Associate, Molecular

Closing date: 
Sunday, 23 January 2022

The Alan Turing Institute is seeking a Research Associate, Molecular Biology within their AI for Science and Government Directorate.

The RA will work as part of a team to develop computer vision and machine learning approaches to enable the intelligent sampling of cryo-electron microscopy image data. These approaches may be informed by prior knowledge and/or physical models of molecular structure, with the aim of determining molecular structures with enhanced resolution, and detail regarding dynamic states.

The RA will play an active part in all aspects of research from data preparation, to the development of research questions, modelling and analysis, and writing up/publication. Technical meetings will take place between the partner institutions, establishing a robust platform for developing future programmes between the biological sciences, the Turing, the Franklin and the wider scientific community. This is a collaborative research role and so it is crucial that you enjoy working with others within an interdisciplinary research environment.

This full-time post is offered on a fixed-term basis until 31 January 2025.

 

Please find below a link to the advert, job description and application form.

https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_molecular_biology_18891/en/

Closing date: 23 January 2022
Should you have any queries, please email recruitment@turing.ac.uk.

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

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