Education
BSc and MSc in Epidemiology, Meteorology, Environmental Sciences, Physics or Mathematics (or equivalent)
Essential Knowledge and Professional Experience
PhD in epidemiology, applied statistics or related field
Experience in data management and statistical analyses
Proficiency in scientific programming in a suitable language (e.g., R, Python)
Excellent written and verbal communication skills in English, demonstrated in scientific publications
Ability to work in a professional environment within a transdisciplinary and international team
Additional Knowledge and Professional Experience
Knowledge on some of the following topics: Bayesian statistics, spatial epidemiology, transmission modelling, statistical downscaling, multi-model combination techniques, and bias adjustments techniques
Experience working with public health stakeholders and international agencies
Competences
Problem-solving, pro-active, result-oriented work attitude
Excellent communication skills
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