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Responsibilities: Conduct membrane related projects for desalination, decarbonization, resource recovery, etc. Assist in the design, optimization, construction, commissioning and operation of membrane-based
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PON. 3) optimization of VLC-based wireless access, employing advanced multiple-input multiple-output (MIMO) processing strategies, aiming at end-user data-rates exceeding 50 Gbps. 4) reporting
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improvements, financial oversight, equipment usage, and compliance with EH&S and safety regulations. This position requires strong analytical and organizational skills to evaluate existing processes and
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: Modelling of optimization problems mainly related to the indicated line of research, as well as the design, implementation, and validation of algorithms to solve them Where to apply Website https
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, and mechanical characterization, analysis of damage mechanisms, and optimization of post-process heat treatments. In the field of functional materials, the candidate will contribute to the design of new
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language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences
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tools to tackle the voltage security problem in transmission networks with a large presence of renewable generation by optimally employing non-costly control actions like (i) displacement of available
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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. Where to apply Website http://www.unifi.it Requirements Additional Information Eligibility criteria computer engineering or computer science master degree Eligible destination country/ies for fellows
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by desorption, as well as crystallization and precipitation of Magnesium Ammonium Phosphate (MAP). These processes are tested and optimized on a pilot-scale wastewater treatment plant using real