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project will develop a process-based, spatially explicit agent-based model for one or more widespread European amphibian species (e.g. Bufo bufo, Rana temporaria, Epidalea calamita), capable of capturing
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perovskite structure (BCZT); 2) develop a drug delivery system based on PCL microspheres containing anti-inflammatory agents (dexamethasone and/or other corticosteroids, amoxicillin, ciprofloxacin); 3) design
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activities, communication and involvement of project agents (Task 7); 7) Contribute to both scientific and financial project reporting. V. Composition of the Jury In accordance to article 13 of the RCD
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, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco-innovation, through
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techniques and AI, engineer robust and adaptive solution systems, and address challenges related to multi-agent coordination and decision-making under uncertainty. The ideal candidate will have a strong
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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment
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03.06.2021, Academic staff The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and privacy-preserved
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03.06.2021, Academic staff The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and privacy-preserved