Post-doc position in modelling embryogenesis at the University of Exeter

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    DavidRichards
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    Position: Postdoctoral Research Fellow in Modelling of the Early Animal Embryo

    Application closing date: Tuesday 14th March 2023

    Available from: Tuesday 11th April 2023

    Location: University of Exeter, UK

    Salary: The starting salary will be from £39,745 on Grade F, depending on qualifications and experience

    Application link: https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=481593cxAc&WVID=3817591jNg

    Summary of the role
    We seek to recruit a new full-time Postdoctoral Research Fellow to use mathematical modelling and computer simulation to study the earliest stages of embryogenesis in mammals. This full-time post in the group of Dr David Richards at the Living Systems Institute (http://www.exeter.ac.uk/davidrichards) is available from 11th April 2023 on a fixed term basis for 21 months.

    You will carry out an exciting project to dissect the underlying rules governing development of the mammalian embryo from a single cell to the mature blastocyst. This will involve a combination of computer simulation (e.g. in C++ or MATLAB) and mathematical analysis. As well as intrinsic interest in embryology, achieving a deep understanding of the earliest phases of development may well lead to transformative impact on human fertility and fertility lifespan. Research questions will include the underlying biophysical forces at play, the similarities and differences across animals, and how IVF clinics can better decide which embryos to implant.

    About you
    You will possess a relevant PhD or equivalent qualification/experience in a related field of study, which may include (but is not restricted to) mathematics, physics, computer science, biophysics or engineering.

    You will be a nationally recognised authority in mathematical modelling or computer simulation. You are required to be motivated and demonstrate good knowledge of the topic, possess excellent problem solving, interpersonal and communication skills and a collaborative spirit, combined with an ability to think carefully about your research.

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