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undergraduate and graduate students in the lab. Participate in professional development activities. Ensure best practices in data and project management. Stay current with technological advancements and apply
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resources management, food systems and climate smart innovation. As a new organization building a new facility and serving this region, the successful applicant would have the opportunity to develop
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communication skills and be able to work well as part of a team. Additional qualifications Quantitative skills: Proficiency in statistical software (e.g., R, SAS, STATA) for data management and analysis of health
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in Agriculture • Machine learning models for pest and disease prediction • Crop classification using multispectral imagery • Digital twin models for farm simulation and management • Collaborate with