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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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the mechanisms underlying inflammatory diseases and their role in tissue damage and disease development. The research is characterized by close integration of basic and translational approaches, as well as well
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sensitivity study to reliably assess the impacts of key sub-models (e.g., green fuel combustion mechanisms, radiative heat transfer, turbulence mixing models) and to evaluate the effects of key operation
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by a collaboration partner Perform a comprehensive CFD-based sensitivity study to reliably assess the impacts of key sub-models (e.g., green fuel combustion mechanisms, radiative heat transfer
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Job Description Are you interested in combining social neuroscience and explainable AI to uncover how the brain encodes social interaction mechanisms and tracks uncertainty in social situations? We
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demand flexibility, solar and wind energy can be used to an optimal extent. The Technical University of Denmark, Department of Civil and Mechanical Engineering (DTU Construct), invites applications for a
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focused on experimental approaches to uncover mechanisms linking adipose tissue heterogeneity to cardiometabolic disease. The position is available from February 1, 2026, or as soon as possible thereafter
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learning potentials (MLPs). You will develop geometric graph manifold learning methods and utilize those to learn from heterogeneous quantum mechanical datasets. You will implement and benchmark state
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Further information may be obtained from Niels Henrik Mortensen, nhno@dtu.dk . You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk . If you are applying from