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analysis.-A strong record of publication. -Experience conducting and analyzing data from semi-structured interviews and/or focus groups.-Experience writing literature reviews and policy guidance documents
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rotation forestry towards continuous cover forestry methods is debated in Scandinavia as a way forward to increase biodiversity and climate resilience. This postdoc project will be based on empirical field
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Applications should include: Curriculum Vitae Cover letter A copy of the PhD diploma or a letter indicating the expected defense date Copy of a publication The name, current position and
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data ethics, indigenous research methods, indigenous data sovereignty, metadata for research data, research cyberinfrastructure Instructions Application Materials 1. A cover letter describing your
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candidate will be working with a large database comprised of prairie and marsh vegetation observations, fine-scale LiDAR data-derived ground elevations, Everglades-wide hydrological modeling and observations
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cells. For more information about our research, please see the following publications and website: Science 381: eadd6696 (2023); PMID: 37499037 Science Advances 8: eabo0404 (2022); PMID: 35857842
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: Physics / Nuclear Theory , quantum information/computation Appl Deadline: none (posted 2025/04/09) Position Description: Apply Position Description The Department of Physics at the University of Arizona
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for extraterrestrial techno signatures and analysis of data from the Galileo Project observatories. The successful candidate will have access to local computing facilities and will have the opportunity to interact and
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, United States of America [map ] Subject Areas: Data Science, AI, Graph Theory, Optimization, Probability Theory Appl Deadline: 2025/07/30 11:59PM Position Description: Apply Position Description UNIVERSITY OF SOUTH CAROLINA
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, whose primary activity will be academic research in association with a faculty member or team. The appointee will contribute to research projects focused on conducting statistical analysis of Omics data