130 data "https:" "https:" "https:" "https:" "I.E" "UCL" "UCL" positions at Aalborg University
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on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
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cell walls (i.e. the pores) of biogenic materials, and distribution of critical water in rigid materials prone to frost damage. The project is expected to deliver models for moisture transfer and storage
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is used to identify stakeholders of DSM in Norway, Greenland, and Denmark, and collect, codify and analyse data on stakeholders’ communication and representations of the Arctic Deep Sea. Field visits
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. The duration of the position is three years. Your work tasks The PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in
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. This may be through data collection, data curation, programming, modelling, experiments, open science, development, cooperation with companies, or other activities which may result in publications, patents
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research on architectures and methods for the real-time delivery of EO data from dense nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a
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(such as heart disease, diabetes, and cancer) using, for example, data from registries and/or biobanks. The research will be performed in close collaboration with Center for Clinical Data Science (CLINDA
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University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
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the project based on your interests and in collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD
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Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools