Precision Agriculture, bioinformatics, System Biology, Genome Scale Model, metabolic maps plant sensing, physiological diagnostics.
Work description
Integrating data from optical sensors and multi-omics in systems biology (SB), where the metabolic pathways of the grapevine can be explored to understand the impact of genetic, environmental, and cultural practices on vine physiology/metabolism for the development of advanced precision agriculture models. The candidate's activities will be developed within the project: OmicBots – High-Throughput Integrative Biology Omics Robots Platform for 'Next Generation Plant Physiology based Precision Viticulture’. https://www.fc.up.pt/omicbots/Home.html
Academic Qualifications
PhD in Agrarian Sciences, Bioengineering, Bioinformatics/Systems Biology, Biotechnological Engineering, and related fields.
Minimum profile required
-Precision and digital agriculture-SB: genome-scale metabolic models, graph analysis, flux balance analysis- AI-driven predictive models-Computers: R(Bioconductor), MATLAB (Comp. Biology), Python (eg. MEWpy, Cobrapy) and Bioinformatics for database searches-Experience with multi-omics integration (e.g. HPLC, GC_MS)- Precision agriculture
Preference factors
Proven experience in systems biology and bioinformatics. The jury may not award the scholarship if the quality of the candidates is inferior to that intended.
Application Period
Since 16 Jan 2025 to 29 Jan 2025
Centre
Robotics in Industry and Intelligent Systems