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process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste processing and valorization; Operate and maintain mineral processing and analytical instruments; Design and
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undertaken by the supervisory team of this thesis on the culture of this diatom, with the aim of optimizing and intensifying its culture but also its refining via the extraction and fractionation of its lipids
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will play a key role in strengthening and expanding the group’s computational capabilities for the simulation, analysis, and optimization of advanced thermal energy systems and processes. This includes
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly
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been performed in a fragmented manner, within other Surgical Units. The establishment of a Plastic Surgery Unit will require a significant organizational effort to implement and optimize care pathways
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, assembly, adaptation, operation, and optimization of plasma systems and reactors; on the processing of liquid materials and precursor suspensions; on the treatment and processing of materials by thermal
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
–nutrient coupling. Develop nutrient (N, P)-enriched biostimulant matrices for enhanced water–nutrient coupling and improved plant nutrition. Design, synthesize, and optimize functional materials derived from
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paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant
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distributed data processing closer to IoT devices. However, optimizing service placement in Fog environments remains a challenge due to the variability of Fog node resources, latency and energy constraints, and