Research Associate/Fellow – Modelling in Synthetic Biology

Job ID: 2963
Job date: 2015-03-10
End Date:

Company : Synthetic Biology Research Centre 

Country :

Role : Faculty 


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Job Description:

Research Associate/Fellow – Mathematical/Computational Modelling in Synthetic Biology

Reference: MED284314X1
Closing Date: Wednesday, 18th March 2015
Job Type: Research & Teaching
Department: Life Sciences
Salary: £25513 to £37394 per annum, depending on skills and experience (minimum £28,695 with relevant PhD). Salary progression beyond this scale is subject to performance

Fixed-term
Applications are invited for the above post in the Synthetic Biology Research Centre (SBRC), based in the Centre for Biomolecular Sciences, University Park, Nottingham.

The aim of the post is to provide research support for the BBSRC/EPSRC Synthetic Biology Research Centre (SBRC) in the creation and exploitation of gas fermenting microbial chassis as it relates to the sustainable production of chemicals and fuels. SBRC Nottingham is one of three UK centres created by the BBSRC/EPSRC in 2014 and has received £14.3M in funding for a 5 year period. We are recruiting exceptional post-doctoral researchers to join the modelling and analysis team. The team will conduct cutting edge research into novel computational and mathematical modelling and analysis approaches and development of an integrated software suite to facilitate the rapid development of microbial chassis able to produce a range of platform chemicals. We seek individuals who will focus on biochemical/synthetic biology modelling, whose responsibilities will include development of synthetic biology devices and modelling of biochemical pathways

The post will operate within a framework of Responsible Research Innovation (RRI) under the guidance of SBRC social scientists and be expected to undertake outreach activities coordinated by the SBRC Outreach Officer. The role holders will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio.


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