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    Postdoctoral Research Associate - Bristol, United Kingdom - Uag

    Uag
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    Description

    A postdoctoral position is available under the guidance of Dr Thomas Gorochowski in the School of Biological Sciences (University of Bristol) in collaboration with Dr Thomas Ouldridge (Imperial College London) as part of a multidisciplinary and multi-institutional grant called EEBio, which investigates ways to improve the robustness of engineered biology using feedback control.

    You will focus on the development of a computational platform to accelerate our ability to engineer biology across scales – from molecular circuits to cellular communities.

    This will include the creation of new computational tools and integration of existing software such that researchers can effectively design and test biological systems in silico and carry out detailed analysis of associated experimental results.

    We expect the creation of domain specific languages (DSLs) to help simplify how researchers interact with the system, development of digital biological twins to simulate biology across scales, and the adoption of data standards (e.g., the Synthetic Biology Open Language) to improve data integration with other external tools.

    To improve accessibility, you will also explore ways to provide these services via cloud computing resources and dedicated servers.
    You should have extensive experience in software engineering.

    You should have a real passion or emerging interest in how we can engineer biology, and a demonstrated ability to pick up new skills and work well in a diverse, multidisciplinary team.

    Hands-on experience working with Rust and Julia programming languages, high-performance computing (e.g., GPU programming), and building extensible software would be a plus.

    Effective design and inference for cell sorting and sequencing based massively parallel reporter assays. Bioinformatics 39, btad

    [A standard-enabled workflow for synthetic biology


    DNAplotlib:
    programmable visualization of genetic designs and associated data. ACS Synthetic Biology 6,

    [Agent-based modelling in synthetic biology. Essays in Biochemistry 60,

    The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential.

    We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

    £

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