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to control risk while maximizing resource utilization and minimizing energy consumption. WP1: QoS Quantitative Analysis (Months 1-11): This WP focuses on developing original analytical models to investigate
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joint decision-making. Evaluate performance in scenarios such as shared resource management, traffic coordination, and distributed IoT control, benchmarking ToM-enabled agents against traditional multi
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manufacturing machines and advanced mechatronic systems, rely on ultra-reliable, low-latency, and deterministic communication between distributed sensors, controllers, and actuators. Ensuring such performance
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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that
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methodological developments. It makes it possible not only to reveal paintings invisible to the naked eye, but also—by combining spectroscopy and imaging—to access the mineralogical nature and spatial distribution
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/deep learning and image processing/tomography advanced programming skills in Python excellent command of English (written and spoken) Assets: team-oriented mindset with strong communication and
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contract is based on § 2 WissZeitVG. Your Tasks: Generative diffusion models (DMs) learn to reverse a diffusion process from an analytically known prior distribution to a target distribution that is inferred
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image processing/?tomography - advanced programming skills in Python - excellent command of English (written and spoken) Assets: - team-oriented mindset with strong communication and organizational skills
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, % OM, C/N ratio, particle size distribution), chemical composition (lipid and humic fractions), and biological activity through the identification of biomarkers. sample soils after (i) a controlled fire
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. It has recently been coupled with a 'controller' that allows the simulation of actors deploying the SAI by optimising injections to achieve a specific climate objective: for example, global temperature