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AI-focused companies, technology companies, or research laboratories. Experience with robust software engineering, reproducible research, high-performance computing, or cloud-based scientific workflows
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, interdisciplinary working environment In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure Excellent scientific infrastructure
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the electrical grid, electrolysers, fuel-synthesis processes, energy storage and heat integration in integrated Power-to-X systems. You will develop and apply physics-based process models that describe
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Department of Food Science (FOOD KU), Faculty of Science (SCIENCE) invites applicants for a PhD fellowship in Food Engineering, “Linking Powder Structure to Performance” The project is in
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computational biology. In this regard they must have demonstrable expertise with bioinformatics, evolutionary genomics, analysis of NGS based datasets, use of high-performance computing and preferably a keen
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patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you will gain: Strong expertise in statistical and computational methods for privacy
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competences and extensive state-of-the-art equipment. You will have access to dedicated facilities for developing hyperspectral imaging instrumentation, advanced analytical laboratories, and high-performance
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Environments within the general study programme Electrical and Electronic Engineering; as per September 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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the general study programme Electrical and Electronic Engineering; as per September 1, 2026, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high
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a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering, or a related