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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
accumulations of carbon in the atmosphere (achieving “net zero” emissions) by 2050 and involve major structural and behavioural changes globally. Forests capture carbon from the atmosphere, a proportion of which
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proficiency in statistical software and data analysis tools, particularly in health and climate data integration. Excellent communication and interpersonal skills with a proven track record of publishing in
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a network and experience working in cross functional and international teams Hands on mentality with Experience with wet-bench processes and chemical handling in lab. Experience with material
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Science, or a related field Strong background in nutritional analysis, food safety, and data integration methods Proficiency in relevant laboratory techniques and data analysis software Ability to work
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equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of RF will focus on developing ab initio theory and developing software to describe and study groundbreaking
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-functional teams to integrate optical systems with other technologies, including electronics, software, and mechanical systems Develop and maintain technical documentation, including design reports, test plans
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proposed outcomes. All co-authorship will comply with the definition of author and co-author as defined by the journal in question and best practice in publication as detailed in guidelines issued by
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. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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in the area of distributed radar we are looking for a research fellow with expertise and experience in this area. Experience with highly accurate time synchronization of data received by a net of radar