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participated in this Grant Program agree to the Terms and Conditions of the Grant Program, including cooperation with marketing and promotional requests made by The Promoter. See full Terms and Conditions .
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motivated and self-driven PhD student with strong intellectual curiosity and interest in computational mechanics, data-driven design, and sustainable engineering. If this excites you and you want to make a
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, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc., are encouraged to apply.
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Job Description Do you want to apply artificial intelligence (AI) to solve real-world safety challenges and contribute to the green transition in shipping? At the Department of Technology
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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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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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and ethical practices. Promote and enable the use of data insights and analytics to enhance program delivery and service innovation. Drive innovation in data utilization and AI and act as a key partner
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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
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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