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shares the results of its projects and puts science to work for action. In this way, it supports the transformation of societies toward more just and sustainable social, economic, and ecological models
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
Selection Criteria: PD&PEWER_Academic B_Research Fellow.pdf About the opportunity This position is a fixed term for a period of up to 12 months to play a major role in building a model of hydrogen
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for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial
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the obtained doctorate must be presented before you can take up the position. Keen interest in ecological statistics and cross-disciplinary scientific research. Solid background in statistical modelling
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
Selection Criteria: PD&PEWER_Academic B_Research Fellow.pdf About the opportunity This position is a fixed term for a period of up to 12 months to play a major role in building a model of hydrogen
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opportunity This position is a fixed term appointment for a period of two years (24 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their
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predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
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is connected to the field of innovation studies with a specific focus on sustainability transitions, circular economy, business model change and value chains related to electric vehicle (EV) batteries
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
Experience, Skills, Training/Education: Experience with pangenomics, structural variation, and synteny analysis. Background in ecological genomics or plant adaptation. Experience mentoring students
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Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance computing and handling