39 computational-physics "https:" "https:" "https:" "https:" "IFM" uni jobs at Aalborg University
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the mathematics-economics programme as well as teaching mathematics and statistics at the study programmes in Engineering and Social Sciences. Aalborg University has three campuses (Esbjerg, Copenhagen and Aalborg
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physical modelling in such facilities, but also one that can contribute to the development of the numerical modelling in the group. Your work tasks The candidate will contribute to the teaching and research
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to the research groups “Multimodal Reasoning for Robotics and Process Intelligence” and “Underwater Technology”, and the Assistant Professor will be positioned in the Esbjerg Energy Section. Research areas will be
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evaluate their own teaching in alignment with course plans and programme learning objectives. The role also involves developing a personal teaching portfolio and completing the university’s pedagogical
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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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research. The activities encompass research and education in materials, mechanics, physics, production techniques, robotics, industrial management, and innovation. The laboratory facilities are world-class
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of complex systems. Experience with high-fidelity numerical modelling, for example using computational fluid dynamics or advanced process simulation tools, is highly relevant. It is an advantage if you are
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the Department’s psychology programme, including course development, examination, and educational leadership. Demonstrating the ability to translate research into broader societal or practice-oriented relevance
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department working within thermal energy systems, fluid mechanics, heat transfer, process design, and related areas. You will have both independent responsibilities and opportunities for close collaboration
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The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and