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, coordinate across internal functions, and translate new external demands into organizational priorities, practices, and decision-making processes. A central component of the work will be qualitative empirical
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group has around 20 members including biochemists, quantum physicists, computer scientists and more. We offer a scientific working environment focused on practical connections between these fields with
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bias reduction in recruitment processes. The position is full-time, three years, and based at the research group Strategy, Organisation and Management at campus Aalborg. The stipend is open for
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technologies Research Field Computer science » Computer systems Computer science » Computer hardware Researcher Profile First Stage Researcher (R1) Application Deadline 11 Aug 2026 - 21:59 (UTC) Country Denmark
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processes, and product development, NIVI aims to streamline the journey from research to real-world vaccines. Our group and research Our group is part of the NIVI-R interdisciplinary research consortium. We
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design and operation of the offshore power supply system. Join this exciting academia–industry collaboration to reduce emissions from idling vessels anchored between operations and help shape a scalable
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of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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architectures for quantum superlattice devices, including embedded contacts and electron-transparent regions. Develop transfer and stacking processes for graphene, hBN, transition metal dichalcogenides and charge
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the detection of accelerants, contaminants, and degraded forensic evidence and integrate advanced data processing and visualisation techniques to handle and interpret large hyperspectral data sets. Clearly