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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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. Responsibilities and qualifications If you are you interested in numerical simulations of advanced manufacturing processes which involve several physical phenomena and subsequent cross-linking of these simulations
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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine
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relationships in polymeric drug delivery matrices, with particular emphasis on how semi-crystalline lamellae and amorphous domains coexist, compete, and evolve under processing and during hydration. Polymeric
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, installation and efficient operation of affordable cooling solutions of buildings in hot and humid climates. The stipend is within the general study programme "Civil Engineering" is open from 15th February 2026
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particular EEG responses, thereby mapping stimulus-response relationships in both space and time. Understanding these dynamic informational patterns is key to revealing how the brain tracks, processes, and
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
note that your master’s degree must be equivalent to a Danish master’s degree (3 + 2 years). Certified copy of original Master of Science diploma and transcript of records in the original language
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Quantum Information Processing in Networks. The stipend is
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. If you experience technical problems, please contact hcm-support@sdu.dk . Application and assessment process The application deadline is January 6, 2026, at 11.59 PM / 23.59 (CET/CEST) after which the link
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key to revealing how the brain tracks, processes, and learns auditory information. Methodologically, the project will explore the integration of information-theoretic decompositions, deep neural