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"Post-Doctoral Research Associate, Life Sciences"

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Post-Doctoral Research Associate, Life Sciences

Job details

Salary

£37,099 per annum

Region

School of Life Sciences

Employment type

Fixed term, Full-time

Job category/type

Research

Job reference

REQ08739

Job description

The Fellow is seeking to recruit a Postdoctoral Research Associate to collaborate in the Future Leaders Fellowship (FLF) research project, ‘Is evolution predictable? Unlocking fundamental biological insights using new machine learning methods’. We hope to recruit a researcher with strong biological data science skills to collaborate in machine learning, and other statistical, analyses of biological digital data. The PDRA will play a key project role in managing “big data” biological image datasets and developing, testing, running and interpreting digital data analysis pipelines, in collaboration with other members of the project team.

The successful candidate will conduct collaborative research as part of the Future Leaders Fellowship ‘Is evolution predictable? Unlocking fundamental biological insights using new machine learning methods’, with Fellow Dr J. Hoyal Cuthill and collaborators. Responsibilities include data management, running, modifying and testing machine learning analyses, statistical data analysis, publication preparation and writing, maintaining collegial relationships with project partners, and public outreach.

Please note, the succesful candidate will be appointed to the post of Senior Research Officer.

A full list of duties and responsibilities can be found within the job pack.

Skills and qualifications required

The successful candidate will hold a relevant doctoral-level degree in biology, computer science, or another discipline relevant to the project, or equivalent professional experience or practice, or be close to completion of PhD. Along with a Bachelor’s-level degree in biology, computer science or another discipline relevant to the project.

You will have the ability and willingness to contribute to day-to-day management and maintenance of project datasets and methodological pipelines, including providing relevant support and training to other members of the project team.

As part of the process and to be successful you will be required to demonstrate how you your research has been impactful within and beyond the academic sphere, recognising the importance of this and the effect it will have on the University.

The University of Essex is a campus based University and all academic appointments are made with the expectation that you will be present on campus to fulfil the requirements of your position. At the time of a job offer, the possibility of hybrid working, will be discussed and considered on an individual basis, but you will be required to be based within the UK.

At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.

Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application.  Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please contact resourcing@essex.ac.uk

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