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problems. This level of complexity increases when considering the multi-period operation of the system. These are difficult to solve using traditional strategies, so in recent years machine learning
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hydroxylation reactions. However, their catalytic behavior is often governed by complex electronic structures that remain insufficiently characterized. Developing a systematic and quantitative approach
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hydroxylation reactions. However, their catalytic behavior is often governed by complex electronic structures that remain insufficiently characterized. Developing a systematic and quantitative approach
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-terrestrial or complex samples is advantageous. Motivation to work independently as well as collaboratively in an interdisciplinary team Starting date: September 2025 (flexible if needed) Duration: 36 months
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synthesis (as for molecular complexes) and is easily tunable by selecting the appropriate amino acids (as for proteins). The main goal of the project is to obtain structural mimics of the enzyme. The work
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of marine organisms, thus opening new perspectives for the study of complex biological systems. DESIRED SKILLS Technical Skills: • Proficiency in Python programming, with the ability to develop complex and
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reduction of computational complexity. Target tracking has been explored since the early days of data fusion. The aim is to locate targets (or objects) relative to an observer, whose number is unknown, varies
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, the project seeks to address existing challenges in centralized systems, such as high computational demands and communication complexity. The outcome will contribute to more scalable, reliable, and cost
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the SOFT axis of the IUSTI laboratory, a collaborative team working on the physics of complex matter, from granular media to bio-inspired systems. https://iusti.cnrs.fr/la-recherche-a-liusti/milieux-divises
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
of the energy sector. The aim is to develop methods based on data-driven optimization and ML that improve decision quality and simplify complex model chains. The considered use cases can be the classical ones