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laboratory analyses. c. good understanding of ecological and/or health sciences and statistical analysis. d. excellent written and communication skills, and e. a strong aptitude for scientific
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statistical competence in quantitative methods. They will have a demonstrated ability to work independently and to appropriately manage sensitive and confidential information. Responsibilities may include
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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