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algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications
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neurovascular coupling and its modulation by attention and neuromodulation. The primary responsibilities will include processing, analyzing, and modeling multimodal neuroimaging data, specifically simultaneous
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mathematical frameworks for multimodal integration, advance video transformer architectures for temporal-spatial dynamics, and develop few-shot learning methodologies for ultra-low-resource scenarios with only
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liquid), vacuum equipment (pumps, chambers) and laboratory equipment (analytical balances, centrifuges, motors, refrigeration and other temperature-controlled devices, etc.). The primary function
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to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be
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group. Main responsibilities Conduct research in collaboration with senior researchers and PhD students in the Automation group, with the primary goal of qualifying for a future academic career
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: CV including relevant professional experience and knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not
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: CV including relevant professional experience and knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not
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Nadeem and Murat Uysal. Principal Responsibilities The PDA will conduct research on the physical layer and MAC layer design for wireless systems, particularly across multiple spectrum bands. The PDA is
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of adaptive decision-making architectures for large-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance