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environmental, strategic and economic reasons. In France, 20% of the drinking water consumed per inhabitant is dedicated to the operation of toilets [4]. This represents about 2 million m3 of water per year. Thus
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is to develop RL controllers that can learn from data while guaranteeing stable and safe operation in complex, nonlinear systems such as chemical plants and energy processes. By validating the approach
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environments for at least 2 years. (2) Code-control tools (Git or similar). (3) Electronics knowledge (hardware development or circuit design) for communications or defense systems for at least 2 years
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applications that can benefit human and environmental health. We focus on Multimodal Data, processing and analyzing diverse types such as mass spectrometry (proteomics, metabolomics) and metaomics (metagenomics
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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metabolic restrictions, while in the gut, microbial metabolites influence immune regulation and tolerance. In this context, the FNRS and FNR funded projects will explore how metabolic pathways control T cell
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for Control and Signalling Systems (CIDET) – CZ.02.01.01/00/23_021/0008402) FACULTY: Faculty of Electrical Engineering and Informatics DEPARTMENT/INSTITUTE: Research Centre of the Faculty of Electrical
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 13 days ago
atomically resolved dynamics, fundamental light-matter interaction, accelerator-based light sources, coherent controlled molecular and solid state dynamics, molecular imaging, extreme timescale spectroscopy
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humidity-controlled terahertz spectroscopy to probe water properties within membranes, advancing material insights to optimise trade-offs for next-generation energy technologies. Project Detail: You will