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are: Incorporation of CMOS compatible transition metals in thin-film synthesis, gearing towards GHz SAW excitation Sensoric study of the acousto-NEMS for harsh environments Study of the acousto-NEMS in quantum regime
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of Higher Education and Research (MESR). PINNACLE: Physics-Informed Neural Networks for Accelerated Cloud Light-Scattering Emulation Artificial intelligence is profoundly transforming atmospheric
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particular focus on the biosynthesis pathways of secondary plant metabolites (flavonoids). Your tasks will include: Applying controlled stress treatments Phenotyping stress responses with various sensors and
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imaging systems capable of penetrating fog, dust, and even certain solid materials. These systems will deliver detailed, high-resolution imaging in challenging conditions where conventional optical sensors
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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of CMOS compatible transition metals in thin-film synthesis, gearing towards GHz SAW excitation Sensoric study of the acousto-NEMS for harsh environments Study of the acousto-NEMS in quantum regime You will
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analysis framework that supports flood-resilient urban design by combining multi-sensor Earth observation (EO) data, hydrological–hydrodynamic models, urban digital twins, and advanced AI methodologies
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healthcare for FOG; identify technical requirements for the development of just FMs-based solutions for FOG. Develop a data collection method embedding wearable IMU sensors for monitoring FOG in everyday life
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obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and