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Master thesis project to contribute to strengthening WOAH Incident Management System (IMS) by mapping datasets and exploring methods and criteria for dataset assessment, with a focus on supporting early warning and response to transboundary animal diseases.
Job Responsibility:
Map relevant datasets to support WOAH’s Information Management System (IMS)
Explore assessment methods and criteria for evaluating dataset quality and relevance
Focus on early warning and response mechanisms for transboundary animal diseases
Requirements:
Master level (or equivalent) in data science
Alternatively in veterinary sciences, life science, international affairs, public health, agricultural science with formal training or experience in data science
Analysis and problem solving
Good working knowledge of Microsoft Office, such as Excel, Word and PowerPoint
Excellent knowledge of English, both spoken and written
Basic knowledge of epidemiology and epidemic intelligence principles
R or python intermediate level
Ability to work in an agile way and deliver at pace
Organisation skills and ability to meet deadlines
Team player who can integrate well into the department
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