Location: | Liverpool |
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Salary: | £38,205 to £44,263 per annum (starting salary will be £38,205 p.a.) |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 24th September 2024 |
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Closes: | 9th October 2024 |
Job Ref: | 87231 |
Full-time, Fixed-term appointment until 31st August 2025
Based in Liverpool
We have an exciting opportunity for a Post-Doctoral Research Associate to join the Vector Biology Department to support the Ethnography Work Package team in the analysis and write-up of qualitative data for publication in peer-reviewed journals. The successful candidate will join a collaborative research team led by Chris Jones, Shire-Vec Principal Investigator, LSTM and Federica Guglielmo, Ethnography Work Package lead, UoL/LSTM to work in drafting manuscripts for peer-reviewed publication, policy and funders reports, and in producing any documentation relevant to the management of the work package.
Key responsibilities include:
Lead the analysis and write-up of qualitative data
Produce reports, papers and other documentation to communicate research findings
Further responsibilities
The ideal candidate will have excellent interpersonal skills with the ability to work as an integral member of a multi-disciplinary, multi-national research team. You will have well-developed research skills with the ability to effectively present research findings in oral and written format. You will also demonstrate:
(For a full list of essential and desirable criteria please refer to the job description and person specification) Click the'Apply' button above.
In return we offer:
Informal enquiries can be made to: federica.guglielmo@lstmed.ac.uk
Closing Date: 9th October 2024
Interviews will take place between 16th–23rd October 2024
Application Process: To apply for the position please click on the 'Apply' link and upload your CV and covering letter.
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We seek to attract and recruit people who reflect the diversity across our communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. LSTM selects candidates based on skills, qualifications, and experience.
We welcome conversations about flexible working and applications from those returning to employment after a break from their careers.
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