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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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performance of remanufacturing processes by providing data-driven material assessments and validation techniques. Responsibilities and qualifications You will join the Section of Materials and Surface
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. Your work will be central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Construct is seeking a Postdoc to develop robust metrics and data collection methods
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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..) Digital Twin & Digital Transformation Development & Deployment of Digital Twins for smart cities, or data infrastructure. IoT-based Data Sources, Big Data Pipelines, & Real-time Analytics. Federated Systems
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technical and data requirements. The collaboration with the interdisciplinary team, including experts in software engineering, artificial intelligence, and behavioral science, will facilitate evaluating
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design of study, selecting the best data for execution, performing and reporting analyses. This requires that you are able to work independently and have a desire to seek out and test the most suitable
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, structure and functionality of casein ingredients isolated from precision fermentation biomass and to develop post-process modification strategies to alleviate deficiencies in functionality compared to animal
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within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We