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research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on health; Develop and implement statistical methods, computational models and/ or machine learning
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statistical and analytical skills, outstanding writing abilities, and the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with experience in hybrid
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data relevant to the terrestrial carbon cycle. Implement advanced statistical method to explore the vegetation dynamics. The formulation and testing of ecological hypotheses on vegetation dynamics
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specialisation related to statistics, mathematics, computer science, quantitative social science, public health, epidemiology or related field (2) be proficient in Stata or R and (3) Have proven ability to conduct
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with the consideration of years of experience postgraduate. Duties: Collect and process remote sensing data relevant to the terrestrial carbon cycle. Implement advanced statistical method to explore
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, statistics, or related field Evidence of managing research projects Evidence of ability to conduct high-quality research Background relayed to Causal inference, Experiment design, Causal Structural modeling