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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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analytical sciences. We are looking for talented people to join us. Your responsibilities include: Interdisciplinary research within the project "Complex and Competing Phenomena in Recycled Flame-retardant
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Help shape the future hydrogen economy by exploring the dynamic values at play in this complex transition. Job description The hydrogen economy is gradually materializing. What are the underlying
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Offer Description Project: EIC Pathfinder APACE nr 101161312 ‘Towards biomimetic sunlight pumped laser based on photosynthetic antenna complexes’ Description of tasks: synthesis of functional dyes
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range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in diverse domains—such as manufacturing
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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and Management The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber
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and 7 months to work on mitochondrial membrane protein complexes using structural biology methods, cryo-ET and STA. Expected start date and duration of employment The starting date is 1st February 2026