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quantitative statistical methods, using software such as R; A communicative, persistent and meticulous character; Excellent command of written and spoken English. Preferred Qualifications: Demonstrated affinity
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degree in health sciences, public health, epidemiology or similar; Experience with doing epidemiological analyses and publishing scientific articles; Skills in advanced quantitative statistical methods
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designs PhD (or close to finish) in sociology, economics, statistics, psychology, educational science, or political science knowledge or interest in causal inference good command of academic English
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interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning
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experience in epidemiological modelling and infectious disease dynamics Experience working in interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge