Research Associate – Evolutionary Biology
The University of Sheffield’s School of Biosciences is inviting applications for a Research Associate position in an interdisciplinary project titled “Seducing shifting sands – from genes to geoengineering,” funded by the Human Frontiers Science Project (HFSP). This full-time, fixed-term position is set to start on December 1, 2024, and will last for a period of three years.
Designation:
Research Associate
Research Area:
* Evolutionary Biology
* Population Genetics
Location:
University of Sheffield, School of Biosciences, Sheffield, UK
Minimum Requirements:
* PhD (or equivalent experience) in a relevant field
* Strong analytical and quantitative skills
* Expertise in bioinformatics, particularly in population genetic analyses and Genome-Wide Association Studies (GWAS)
* Wet-lab experience in preparing samples for next-generation sequencing
Job Description:
As a Research Associate, you will lead the genetic aspect of the project focusing on understanding how genetic variation in sand dune-building plants translates to landscape changes in topography and resilience. Your responsibilities will include:
* Field sampling in various locations (Europe, North America, South Africa, Australia)
* Conducting leaf trait analysis
* Preparing DNA libraries
* Performing bioinformatic analyses
* Collaborating with coastal ecologists and engineers
* Publishing findings in peer-reviewed journals
* Presenting research at national and international conferences
Additionally, you will work closely with other Research Associates and PhD students within the laboratory, receiving encouragement and support to develop your own research projects.
How to Apply:
Interested candidates are requested to apply online by clicking on the ‘Apply Now’ button available on the University of Sheffield’s jobs page. Ensure you upload all necessary documents, including your CV and cover letter.
Last Date to Apply:
August 1, 2024
Apply now and join our diverse team committed to advancing knowledge in evolutionary biology and population genetics through innovative research and collaboration.
#J-18808-Ljbffr