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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
Fellow will hold a PhD (or be waiting conferment) in an area of the social or natural sciences that is relevant to forest governance and/or the financing of forest carbon schemes. Ideally the person
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the research project • For those hired at senior levels, management responsibilities may be included Qualifications • Have a PhD degree in Electrical Engineering or equivalent from a recognized University
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Qualifications: A Masters or PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or any discipline related to child development. Experience: Candidates with the following skills
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– Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis and result tabulation. Phase 5
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assays, and the FANCI method. Analyze experimental data and integrate results into the broader context of RNA biology and disease mechanisms. Collaborative Research Collaborate with other researchers in
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other tasks required by the principal investigator. Job Requirements • A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management
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interventions to improve these behaviours and contribute to the prevention of non-communicable diseases and mental well-being. Requirements: • A PhD in Public Health, Behavioural Science, Psychology, Human
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). This fellowship provides substantial opportunities for new PhDs seeking significant experience, mentorship, and networking, as well as close collaboration with the Principal Investigators and considerable
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understanding of the field. Requirements: Applicants are expected to possess a PhD degree in related field such as Economics/Health Economics/Public Health/Statistics. The grade of appointment will be accorded
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of a similar nature that are delegated by the PI. Qualifications The applicant should: Hold a PhD or Master’s degree in Epidemiology/Biostatistics related disciplines; Have experience using data