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the design, synthesis, and characterization of porous materials to control the release of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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Management, and IT). The research conducted at the L2S focuses on the fundamental and applied mathematical aspects of control theory, signal and image processing, information theory, and communication
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protection of information technologies, the significant increase in cyber-attacks against controlled systems (industrial infrastructures, power grids, drones, ... ) over the last two decades [DPF+19,SRE+19
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an autonomousmanner, only within the limits of the research program available on the web address (Number 290) https://www.uniud.it/it/albo-ufficiale Research assignment financed by INTERREG IT-HR 2021-2027 BRIGANTINE
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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—influence emotional activation, cognitive information processing, and subsequent economic behavior. The empirical part of the work will be based on a controlled laboratory experiment in which auditory stimuli
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controls, evaluate results, etc. Work independently and use scientific knowledge and lab experience to make judgments and decisions. Teach/train learners, and new technicians in the laboratory. Guide, direct
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group (depending on the profile, materials under pressure, MOF coordination polymer design, multi-objective optimization Tc/HEDM/reactivity, etc.). - Calculating the electronic structures