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imaging beyond the limits of conventional voxel-based imaging. The project will involve theoretical and computational work, with particular emphasis on physics-based simulations, biophysical modelling
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8 Apr 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Finance Research Field Economics Computer science Researcher Profile Recognised Researcher (R2
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Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
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energy systems modelers to supply validated process data for system-level energy and carbon footprint modeling. Supervise and mentor MSc and PhD students contributing to process analysis, instrumentation
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
historical insights and to develop reusable computational workflows for semantic modelling in premodern corpora. Job description The successful applicant will be affiliated with Work Package 1: Semantic
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Postdoc in Biomedical modelling of the human colon and surrounding organs Department of Computer Science Faculty of Science University of Copenhagen The Department of Computer Science invites
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2026 or as soon as possible thereafter. The position seeks to strengthen and complement the Department’s ongoing activities in freshwater ecology, particularly aquatic ecosystem modelling and water
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3 Apr 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Human Centered Computing Research
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computational datasets of disordered materials based on density functional theory calculations and training machine learning models to accelerate the predictions. This work will involve collaboration with Assoc
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor