University of Bristol - School of Physiology, Pharmacology and Neuroscience
Research Associate / Senior Research Associate in Biomolecular Statistical Analy
University of Bristol - School of Physiology, Pharmacology and Neuroscience, Bristol, Connecticut, us, 06010
Research Associate / Senior Research Associate in Biomolecular Statistical Analysis
The successful applicant will join leading international researchers in the Organic Geochemistry Unit (University of Bristol) and the Molecular and Cultural Evolution Lab (MACE; University College London), to investigate the dichotomy between farmed and aquatic resource exploitation during the Neolithic. By testing specific hypotheses, the applicant will contribute to the
AquaNeo
research project, investigating the role and importance of aquatic resources in Prehistory.
What will you be doing?
The main purpose of the role will be creative and novel collaborative scientific research focused on biomolecular data generated from Neolithic pottery sherds to estimate dietary components, evaluate subsistence strategies, and test hypotheses about past aquatic resource exploitation within a formal model comparison framework.
Qualifications and experience
A degree in a relevant subject (Data science, Statistics, Bioinformatics, Chemistry, Biology, Archaeology).
Desirable to have a PhD (awarded or imminent) in a relevant subject involving statistical data analyses and formal model comparison.
Experience or a strong interest in archaeological questions.
Ability to publish scientific manuscripts, data reports and summaries.
Experience of liaison with external collaborators and organisations.
Contract type and details
Contract type: Open ended (funding available until 31.03.2027)
The position is funded for a fixed term of 17 months with a starting date of November 2025. Further funding may become available to extend this employment.
Work pattern: Full-time or part-time hours considered.
Grade: I/J/Pathway 2
Salary: Grade I £39,906-£44,746 per annum or Grade J £43,482-£50,253 per annum depending on experience.
School/Unit: School of Chemistry
This advert will close at 23:59 UK time on 22/10/2025. Interviews are anticipated to take place at the end of October 2025. For informal queries, please contact Dr Melanie Roffet-Salque, melanie.salque@bristol.ac.uk; Prof Mark Thomas, m.thomas@ucl.ac.uk.
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AquaNeo
research project, investigating the role and importance of aquatic resources in Prehistory.
What will you be doing?
The main purpose of the role will be creative and novel collaborative scientific research focused on biomolecular data generated from Neolithic pottery sherds to estimate dietary components, evaluate subsistence strategies, and test hypotheses about past aquatic resource exploitation within a formal model comparison framework.
Qualifications and experience
A degree in a relevant subject (Data science, Statistics, Bioinformatics, Chemistry, Biology, Archaeology).
Desirable to have a PhD (awarded or imminent) in a relevant subject involving statistical data analyses and formal model comparison.
Experience or a strong interest in archaeological questions.
Ability to publish scientific manuscripts, data reports and summaries.
Experience of liaison with external collaborators and organisations.
Contract type and details
Contract type: Open ended (funding available until 31.03.2027)
The position is funded for a fixed term of 17 months with a starting date of November 2025. Further funding may become available to extend this employment.
Work pattern: Full-time or part-time hours considered.
Grade: I/J/Pathway 2
Salary: Grade I £39,906-£44,746 per annum or Grade J £43,482-£50,253 per annum depending on experience.
School/Unit: School of Chemistry
This advert will close at 23:59 UK time on 22/10/2025. Interviews are anticipated to take place at the end of October 2025. For informal queries, please contact Dr Melanie Roffet-Salque, melanie.salque@bristol.ac.uk; Prof Mark Thomas, m.thomas@ucl.ac.uk.
#J-18808-Ljbffr