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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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performance. Applicants should possess a Ph.D. degree in marine ecology, molecular ecology and taxonomy, bivalve/shellfish biology, or other marine biology related disciplines. They should have a demonstrated
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diverse and dynamic team Provide general administrative and operational support such as HPC technical assistance Requirements A Ph.D. degree in Bioinformatics, Biostatistics, Biochemistry, or related
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in a discipline related to “Greenhouse gas emissions modelling; Reduced-complexity modelling of the land surface carbon cycle; Climate modelling; Climate mitigation modelling”; demonstrate expertise in
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Mandarin); and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, and state-of-the-art statistical and epidemiological models