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be applied to core technologies of the department, e.g., batteries and catalysts. The project includes collaboration with experimentalists at DTU, who will verify the computational predictions as
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme. Evidence of experience in
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken, corresponding to the scale B2 in the Common European Framework of Reference
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micronutrient researchers in our international and interdisciplinary program, MICROSUNSET brings together experts from several disciplines as supervisors, forming a consortium of seven beneficiaries (see above
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scenario, given limited resources? The security situation in the world has changed rapidly since February 2022. Increasing threats also mean a reorientation for Defence: a renewed focus on warfighting, after
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the world within a range of industrial and commercial sectors. These are Water, Agrifood, Energy and Power, Aerospace, Manufacturing, transport systems, Defence and Security and management.
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At The Faculty of Social Sciences and Humanities, Department of Society and Politics, a PhD.-stipend is available for appointment within the Doctoral Programme of Social Sciences and Humanities
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid