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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
: Designing and conducting interdisciplinary experiments on fungal-bacterial co-cultivation systems Developing 3D-printable bio-ink for sustainable construction applications Generating, processing, and
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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capabilities. Particular emphasis will be placed on high-speed USV operation in realistic marine conditions, where propulsion, control and sensing are strongly coupled. PhD Focus Area: Propulsion, Control and
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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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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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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