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Field
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Digital Engineering and Built Environment. We are seeking an ambitious and research active individual to support the school’s growing cross disciplinary research activities at the intersection of computing
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Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive
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Position Details Position Information Internal Posting? Posting Number SP005014P Position Title Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins Division
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Postdoctoral Research Associate to support the work of Prof Fabrizio Nevola. Digital Humanities 3D Developer with expertise in 3D modelling (particularly in Blender, and a familiarity with H-BIM), photogrammetry
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imaging, digital pathology, and spatial omics datasets for research projects. - Support computational image analysis, data annotation, and quality assurance activities using established software tools and
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a Ph.D. degree in Health Science, Public Health or Geriatric Science, preferably with experience in health service research, advanced data analytics, digital health innovation, and/or big data
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HAICu project to help unlock the potential of cultural digital archives through multimodal use, providing richer context and a more comprehensive analysis of current complex issues in society. If
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agoto develop a federated digital research infrastructure for the materials sciences. The goal is to establish interoperable, trustworthy data spaces where scientific and industrial stakeholders can securely and
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expert partners, LRAs will harness interdisciplinary scientific methods to advance a new digital coast paradigm, nature-based solutions, and social innovation. Key responsibilities and duties: As a
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or quantitative methods. We are open to a range of methodological backgrounds, including digital trace data analysis, natural language processing, machine learning, experimental design, causal inference, and