86 Engineering-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at Aalborg University
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Systems , the Technical Faculty of IT & Design and the Department of Energy , the Faculty of Engineering and Science. One PhD position will be hosted in the Cybersecurity Research Group at the Department
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We invite applications for a full-time 2-year Postdoctoral position at the Faculty of Engineering and Science, Department of the Built Environment at Aalborg University (Aalborg, Denmark
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to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the study program of Biology. The PhD
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this challenge, the Faculty of Engineering's Department of Built Environment and Doctoral School of Engineering and Science offers a PhD stipend. The stipend is open for appointment within the doctoral programme
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. This means we conduct research in areas such as the circular economy, technology, urban, energy, and environmental planning, as well as sustainable transition and design. Sustainability is central to our work
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at the Faculty of Engineering and Science at Aalborg University. Employment is expected to commence on April 1st, 2026, or shortly thereafter. The employment is for a six-year period during which the candidates
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areas: cyber security privacy engineering cryptography and applied cryptography computer engineering edge or cloud computing and networking. You will be part of one of the department’s research groups in
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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At Aalborg University (AAU), Faculty of Engineering and Science, Department of Chemistry and Bioscience, an Integrated PhD stipend is available within the PhD study program of Biotechnology
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern