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position within a Research Infrastructure? No Offer Description Job description This project focuses on modelling, simulation, and decision support for AI-based penetration testing. A central premise is that
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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
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for physical AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in
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-based modeling Experience in plastic degradation or depolymerization Experience in bioinformatics, molecular modeling, or simulations Experience in experimental protein or enzyme characterization Track
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picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
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value creation in Product–Service Systems (PSS) and System-of-Systems (SoS) through simulation, operational data, and Digital Twin methodologies. The research is conducted in close collaboration with
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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service
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research ideas are welcome. (Maximum two A4 pages.) Copy of degree certificate, link to or copy of the doctoral dissertation, or proof of planned defense date. If the applicant is from a country outside the