98 computational-physics-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Aalborg University
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. The Center has state of the art equipment for DNA analyses, computing and advanced microscopy Some teaching may be included, primarily in microbiology and environmental biotechnology, but also in other study
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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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emphasizes adaptive and resource-aware design under uncertainty in networked communication systems. The first theme deals with Digital Twins for Physical AI over Wireless Networks. The researcher will study
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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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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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training programme for assistant professors. Your Competencies We are looking for a colleague with a strong interest in research and a clear ambition to contribute to international academic debates through
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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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to contribute to the groups ongoing work on integrating environmental issues into macroeconomic models with the purpose of providing an assessment of the financial stability and physical risks given
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and cooling systems by using Computational Fluid Dynamics (CFD). Collaborate on innovative research-to-business and development projects with industrial and academic partners. Develop courses, deliver
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus