38 data-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" uni jobs at Technical University of Denmark in Denmark
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Job Description We are looking for an enthusiastic data scientist for the Data Science platform to support our research groups. The job will include running data processing and analytics in
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high-throughput reactor systems, combined with the implementation of a visionary data management strategy, will provide a unique environment for data-rich research supported by machine learning and AI
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Job Description Are you our next Full Professor in the Embedded Systems Engineering section at DTU Compute? You possess expertise in one or more areas within the broad domains of computer
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional
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multi-disciplinary team and will be responsible for data collection and handling in relation to human health impact assessments and participate in all phases of an intervention study among Danish school
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materials, utilizing hyperspectral imaging data as input. We want to enable real-time prediction and assessment of the materials’ physicochemical behaviour and performance characteristics. This position is
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Social-LCA Design & Execution Develop and implement Social-LCA frameworks tailored to project needs. Identify social impact categories, stakeholders, and site-specific data requirements. Conduct inventory
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of BRIGTH and ensures effective development and implementation of strain design procedures in our design-build-test-learn workflow using big data and data science. The Analytics team is part of
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hyperspectral imaging data as input. We want to enable real-time prediction and assessment of the materials’ physicochemical behaviour and performance characteristics. This position is one out of two postdoc
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on the economic impacts of renewable energy based on econometric methods. The work to be undertaken is related to a project, which will draw on input-output models that are tailored to sub-national level data in