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collaboration with six partners in Austria, Germany, and Sweden, aiming to develop advanced zinc-based batteries for stationary energy storage. The project focuses on creating efficient and reliable energy
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such as parental leave, sick leave, or military service. The following experience will strengthen your application: Experience with clinical or biomedical datasets, particularly registry-based
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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This postdoctoral position focuses on securing large-scale distributed AI systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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project focuses on developing and refining advanced organ-on-chip technologies to study and optimize nanoparticle-based delivery systems in biologically relevant environments. The project is strongly
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us The position is based in the Division of Materials and Manufacture at the Department of Industrial and Materials Science (IMS), Chalmers University of Technology. Our division conducts cutting
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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) for turbulent hydrogen mixing and combustion. Optical and laser-based diagnostics will be used on well-defined reference cases to deepen the understanding of hydrogen’s mixing and reactivity. Numerical work will
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing