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at the intersection of environmental economics, spatial analysis, and social-ecological systems, the Postdoctoral Researcher will lead the development of an inventory and spatial database of ecosystem services impacted
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the hospitals for the design of the heart failure care pathway. Where to apply Website https://www.academictransfer.com/en/jobs/362171/postdoc-data-interaction-for-re… Requirements Specific Requirements PhD in
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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Design and build an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and publicly available datasets to interpret
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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of American Universities. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/22410095/post-doctoral-associate-in-the-division-of-engineering-x28-computer
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
epistemological implications associated with the project's activities and outcomes including data collection and fine tuning, as well as their design processes and implementation. This includes: Deployment of a