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Field
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the framework of the URANUS project. Main activities : Develop and optimize AESEC experiments coupled with electrochemical systems operating in highly corrosive and/or high-temperature environments. Design
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integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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integration, finite-volume and finite-element methods, variational formulations, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second
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– overarching goal of the research program is to define optimal cancer prevention and intervention strategies and match the right therapies to the right patients and to advance precision cancer care with real
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leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy resources, demand response, and storage, it aims to enhance grid flexibility and
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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and Jülich. Initially, the work will primarily take place in Aachen Scientific Exchange: The opportunity to attend national and international conferences Work-life balance: Optimal conditions for
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research, please visit: pokrzywalab.com KEY RESPONSIBILITIES: Design, perform, and optimize experiments in molecular biology, biochemistry, cell biology, and proteomics to investigate ubiquitin and SUMO
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy