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, lamination, and testing. He/she will contribute to the development of new application driven materials and production processes, located mostly at Nanyang Technological University. Key Responsibilities: Lead
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: The successful candidate will work closely with the PI and will be expected to: (a) Conduct systematic literature reviews and summarize research-related literature (b) Assist in pilot testing and refining research
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. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis software (Prism, Origin Pro
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or ancestral recombination graphs. You have experience in a high-level programming language. You are interested in developing open-source software for academic and applied work. You are independent, organised
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testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair
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candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or be about to obtain (evidence of submission or awaiting viva exam) a PhD in
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or equivalent education within ecology, sustainability science, geography or related relevant subjects. Master's students can apply, provided they complete their final master's exam before 01.01.2026
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to the terrestrial carbon cycle. Implement advanced statistical method to explore the vegetation dynamics. The formulation and testing of ecological hypotheses on vegetation dynamics. Presentation of results
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, transferring and transforming data, and statistical data analysis. Experience in using one or more statistical software packages (e.g. R or similar). Experience working with routinely collected cardiovascular
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. They will be responsible for conducting literature reviews, obtaining governance approvals, developing, testing and validating surveys, collecting and analysing (quantitative and qualitative) data, working