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communications, signal processing, or related fields at master’s level is essential. This includes a thorough understanding of the fundamentals, as well as modelling, simulation, and evaluation tools such as
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engineering, embedded systems, or a closely related field. The ideal candidate has an interest in the intersection of artificial intelligence, embedded computing, and cybersecurity, and is motivated to work
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properties, e.g. high processability while maintaining an open porous structure. However, their fundamental vibrational behavior remains poorly understood. This limits the possibilities to enhance
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motivated and curious candidate with a background in computer engineering, embedded systems, or a closely related field. The ideal candidate has an interest in the intersection of artificial intelligence
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the initiative over the coming decade. Applicants with an interest in numerical modelling of large‑scale wind processes – especially experience with PALM‑4U – and their relevance for wind‑engineering applications
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studies (e.g., interviews and/or observations) examining clinical leadership practices in reform implementation and change processes at hospital level and across organisational boundaries. These methods
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under one department, which provides excellent opportunities to explore the intersections between these disciplines. Read more about our vision here . Shortlisting may be used in the assessment process
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of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes and drug–excipient
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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environment with new knowledge on moisture transfer and storage process in biobased porous materials? These materials are essential for the green transition but vulnerable to moisture loads. To address