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Mid-level Agriculture, fishing, forestry, wildlife jobs in Kampala, Uganda
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International Potato Center
Agricultural Systems Scientist
Kampala, Uganda
Intergovernmental Authority on Development (IGAD)
CLOSEDAgronomist
Kampala, Uganda
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EnviroServ
CLOSED4 Landfill Supervisors
Kampala, Uganda
Closing: May 15, 2024
16 days remainingPublished: Apr 28, 2024 (1 day ago)
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Job Summary
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Requirements
• PhD in Agricultural Economics, Agricultural Sciences, Sociology or related field.
• Minimum of 5 years of working experience within a multi-disciplinary research context.
• Advanced skills and demonstrated experience in quantitative and/or qualitative data analysis.
• Experience with the collection and management of large-scale survey data.
• Experience with Monitoring & Evaluation, Learning and Impact assessment.
• Strong organizational/management skills in large-scale research or development projects.
• Demonstrated good technical report writing skills.
• Excellent written and spoken communication skills in English.
Responsibilities
Requirements
• PhD in Agricultural Economics, Agricultural Sciences, Sociology or related field.
• Minimum of 5 years of working experience within a multi-disciplinary research context.
• Advanced skills and demonstrated experience in quantitative and/or qualitative data analysis.
• Experience with the collection and management of large-scale survey data.
• Experience with Monitoring & Evaluation, Learning and Impact assessment.
• Strong organizational/management skills in large-scale research or development projects.
• Demonstrated good technical report writing skills.
• Excellent written and spoken communication skills in English.
• Facilitate regular interactions between Add-on, KPI, MELIA and Use Case teams for the integration of Add-on activities, KPI assessment and MELIA activities within Use Cases.
• Coordinate the development and implementation of an Add-on toolbox that is digitally accessible to Use Case teams, EiA partners and beyond.
• Organize capacity building activities for Use Case teams, focused on data collection, data analysis and learning for MVP design and scaling, to enable the implementation of Add-on activities.
• Conduct data analysis to extract learnings on farming systems dynamics and characteristics of farmer communities to inform Use Case strategies.
• Facilitate collaboration between Add-on/KPI teams and EiA data analysis support functions. 1 Yield gap decomposition; Farmer segmentation; Gender- and youth-responsiveness; Climate change adaptation/mitigation potential; Ex-ante impact assessment; Assessment of current agronomic practices,
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