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- 
                Field
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                optimization. - Integrating control loops (DU/RU near-real-time and real-time loops) and observability across layers. - Research, project coordination and fund-raising experience o Ability to lead an independent 
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                programming skills, good knowledge on modeling cyber-physical systems, and preferably experience with DSL development. PhD 3: Timing-aware distributed supervisory controller synthesis (supervision by: Michel 
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                protocols to our Workflow Performing microscopy experiments on sperm dynamics under various controlled environmental conditions. Merging experimental results, simulations, and literature for optimal 
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                , optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate 
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                used in this project. The overall goal of the project is to use AI to optimize combustion in real time and select which combustion mode is the best at each instance. The AI controlled engine will rely 
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                world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and 
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                unsteady operating conditions Parametric shape optimization using CFD combined with experimental validation, resulting in smart generators for flow control and heat/mass transfer intensification 
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                develop internally. At the end of the thesis, we expect to reach these objectives: (i) further understand and optimize the plasma processes to have a better control of the growth of UWBG semiconductors 
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                must hold a Master degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of 
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                . Our activities span enzyme and microbial systems, process intensification, and control strategies, with the aim of linking fundamental insights into biocatalyst behavior to robust process implementation