We are seeking a passionate and skilled researcher to join our groundbreaking research on climate-informed food safety and pathogen impact modeling at Cranfield University.
About the Role
You will join the Bioinformatics genomic informatics team as part of the Horizon-Europe’s Ambrosia project. The project aims to enable for the first time a holistic, systemic approach to food safety risk assessment across the supply chain in view of climate change models with the use of digital technologies, including AI.
This role involves leading innovative research to develop climate-informed impact models for enteric pathogens in fresh produce and mycotoxin contamination in short-grain cereals under varying climate scenarios. You will conduct climate-controlled experiments to study mycotoxin production, generate transcriptomic profiles using RNA-Seq, and identify key mycotoxin-producing gene clusters. Leveraging integrated transcriptomic and climate data, you will develop and optimize predictive models for forecasting mycotoxin levels, ensuring precision beyond traditional approaches. The role also involves collaborating with international partners, contributing to teaching activities, and disseminating research findings through high-impact publications and conferences.
About You
You will have a PhD in Bioinformatics, Systems Biology, Microbiology, Molecular Biology, or a related field (or be close to completion). For Research Assistant, you will have an MSc in Bioinformatics or related fields with demonstrable experience in genomic and transcriptomic analysis. You should demonstrate expertise in designing and conducting growth chamber experiments, as well as bioinformatics skills for RNA-Seq transcriptomic analysis, including assembly, differential expression, and functional annotation. Experience with molecular biology techniques and a strong understanding of Fusarium species and mycotoxin contamination mechanisms are ideal. Proficiency in using high-throughput sequencing technologies, computational tools, and scripting languages (e.g., Python, R) is required. Familiarity with predictive modeling techniques and integrating climate data with biological data will be advantageous.
How to Apply
For an informal discussion about this opportunity, please contact Prof Fady Mohareb, Head of Bioinformatics: f.mohareb@cranfield.ac.uk. Please do not hesitate to contact us for further details on E: peoplerecruitment@cranfield.ac.uk. Please quote reference number 5007.
Closing date for receipt of applications: 28 February 2025.
Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.
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