英國(guó)�？巳�特大學(xué)健康與生命科學(xué)學(xué)院2024年招聘博士后

埃克塞特大學(xué)（University of Exeter），又名�？怂固卮髮W(xué)，是一所位于英國(guó)西南部的頂尖公立綜合性研究型大學(xué)，起源于十九世紀(jì)中葉，于1955年受皇家特許正式創(chuàng)建大學(xué)�，F(xiàn)為英國(guó)羅素大學(xué)集團(tuán)、英聯(lián)邦大學(xué)協(xié)會(huì)和GW4聯(lián)盟等組織成員。

Postdoctoral Research Associate/Fellow

University of Exeter - Faculty of Health and Life Sciences

Location: Cornwall, Hybrid/Remote

Salary: The starting salary will be from £32,982 on Grade E26 for a PDRA and £41,732 Grade F for a PDRF.

Hours: Full Time

Contract Type: Fixed-Term/Contract

Placed On: 2nd August 2024

Closes: 21st August 2024

Job Ref: P93699

The above full-time post is available immediately in the Faculty on a fixed term basis until August 2027.

This role could involve travel across the UK between the teams. It will be a hybrid role based in Penryn, although there may be the possibility for remote working based anywhere in the UK.

The post

The Faculty wishes to recruit a Postdoctoral Research Associate or Postdoctoral Research Fellow to participate in the project ‘Solving the Pangenome Paradox’ which will use cutting-edge methods in population genetics and genomics to estimate the selective effects of accessory genes in bacterial pangenomes. This Leverhulme funded post involves collaboration with three project partners, Adam Eyre-Walker (Sussex), Ed Feil (Bath) and Sion Bayliss (Bristol). The successful applicant will make use of available whole genome data to quantify the presence and diversity of accessory genes in an existing set of bacterial whole genome sequences and co-develop population genetics models to estimate their selective effects.

This role could involve travel across the UK between the teams. It will be a hybrid role based in Penryn, although there may be the possibility for remote working based anywhere in the UK.

About you

Applicants will possess a relevant PhD or equivalent, or MSc or equivalent (please view the job descriptions) and possess specialist knowledge, specifically related to statistical modelling, bioinformatics. population genetics and evolutionary theory. The successful applicant is expected to both be able to work independently and to collaborate with the PI and three project partners. You are able to take initiative, critically evaluate data and research questions and answers and to disseminate work both verbally (in group meetings and scientific meetings) and written (in manuscripts and for outreach activities).

Please ensure you read the Job Descriptions and Person Specifications for full details of this role.

What we can offer you

Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research;

Support teams that understand the University wide research and teaching goals and partner with our academics accordingly

An Innovation directorate that works closely with our academics providing specialist support for external engagement and development

Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career

A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy

Further information

Before submitting an application you may wish to discuss the post further by contacting Michiel Vos, Senior Lecturer, email m.vos@exeter.ac.uk.

The closing date for completed applications is 21st August 2024. Interviews are expected to take place on or around the 2nd September.

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