Plant Health Risk Assessment Scientist / Uberlândia - MG
Core
Assess and anticipate risks for row crops and vegetables using predictive risk modelling, simulations, and machine learning.
Role type
Senior Plant Health Risk Assessment Scientist
Builds
Predictive risk models and simulations for global row crop and vegetable projects
Domain
Agriculture, Plant Pathology, Data Science
Deliverable
production ML models
Required skills
Predictive risk modelling, Simulations, Machine learning, Artificial Intelligence, Plant disease epidemiology, Meta-analysis, Large-scale dataset analysis, Field phenotyping, Disease diagnostics, Vector biology and ecology
Preferred skills
Pest and disease management, Nematode management, Breeding methodologies, Crop Protection approaches, Disease surveillance and monitoring
Technologies
Machine learning frameworks, Simulation tools, Data analytics platforms
Responsibilities
Assess and anticipate risks for row crops and vegetables, Apply new technologies and analytical tools to generate insights from large-scale datasets, Work with multicultural stakeholders in Brazil, India and France, Collaborate across Plant Health, Breeding, and Row Crop teams
Seniority
Senior, hands-on IC