Robotics and Automation for agriculture and forestry. Systems biology and bioinformatics
[Closed]
Work description
- Characterize physiologic, metabolic and transcriptional shifts of greenhouse/field grapevines in response to stress towards validating the spectral data set from the field. - Develop an SB approach to characterize metabolic grapevine pathways and infer their phenotype/physiological state; - Develop a platform engine (digital-twin) capable of incorporating field-spectral data and artificial intelligence to support advanced Precision viticulture
Academic Qualifications
MSc in BioInformatics/SB, Biotechnology Eng. and related areas - BioEngineering, Agronomy, Biotechnologists
Minimum profile required
SB: genome scale models, graph analysis, flux balance analysisComputers: R(Bioconductor), Matlab Comp. Biology and Python, Bioinformatics for database searchesExperience with multiomics integrationAvailability to enroll PhD
Preference factors
Experience in plant 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 07 Nov 2022 to 18 Nov 2022
[Closed]