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approaches to better understand complex and interdependent challenges affecting maritime and port systems, and to translate research outcomes into insights relevant to policy and practice. The work will
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successfully developing methods to integrate large and complex preference datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development
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and secondary resources. The group closely collaborates with other research groups at the Center for Sustainable Resources (CSR|Berlin, https://www.csrberlin.de ) at Freie Universität Berlin and beyond
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tools, such as physics-informed climate and weather predictive models, and trustworthy datasets for training and analysis. Its work aims to improve prediction capabilities and understanding of climate
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laboratory (bio-)chemistry, beamtimes at synchrotrons, data analysis and comparison to expected physics. Due to the complex structure of the composite droplets, we expect emerging effects which can contribute
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and resource allocation. Uses specialized knowledge and breadth of expertise to perform a variety of complex analyses. Leverages expertise in financial modeling and analysis of large data sets
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We address a broad range of fundamental and applied evolutionary problems via the identification and analysis of genetic and phenotypic variability underlying biodiversity at all taxonomic levels
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well as help manage and direct this complex and challenging project as opportunities allow. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance
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recommendations. Develops and/or executes complex financial models. 2. Financial Analysis and Reporting. Analyzes and synthesizes information and designs and creates accurate and timely reports. Designs financial
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Science and Nanotechnology (SMN), Faculty of Mathematics and Natural Sciences, University of Oslo (UiO), within the Centre for Defects in Semiconductors for Quantum Sensing (DSQS). DSQS is one of four