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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
fitted with sensors, we can also access precise physical measurements. Recent work in AI-for-Science has shown that neural-network-based meta-models can also assimilate measurements. Machine learning
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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generating mechanistic insights that can inform future clinical strategies to optimize MN status in critically ill patients. Your main tasks and responsibilities in this project are: • Isolating PBMCs from
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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focus on the molecular design, formulation, fabrication, and optical optimization of one-way transparent films. You will work with reactive liquid crystal mesogens, chiral dopants, photo-alignment methods
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Belgium. The overall objective of FLEX-SMR is to develop cost-optimal solutions for integrating SMRs into industrial energy systems. In particular, the project investigates how an SMR can be operated
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approaches. Collecting and integrating non-radiological (clinical) data for comprehensive analysis. Optimizing imaging protocols and scanner workflow. Contributing to ethics applications and study preparation
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, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital
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. Model transition pathways for the ABEL technologies to integrate into existing or new value chains. Minimize energy and resource use through efficient heat exchange, waste heat recovery, and optimized
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with researchers and practitioners through the aiD network and related national initiatives. Contribute to the scientific development and collaborative activities of the Data Science research group