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Description The design, numerical simulation and shape optimization if large scale aerospace structures are challenging tasks as these structures are composed of hundreds of stiffeners. Constructing precise and
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grant “dynaBBO: Dynamic Selection and Configuration of Black-box Optimization Algorithms”. Travel funding and resources for a research stay of up three months with one of our international collaborators
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to problems such as heterogeneity in solutions, high data dependency and low optimality guarantees. 1.3. Considered methods, targeted results and impacts The use of decomposition strategies is proven to be
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27 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire de réactivité et chimie des solides Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 19 Mar 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
…), and (2) optimization, where the forecasts are used as input to optimization tools for congestion management, economic dispatch, unit commitment, electricity trading, reserves estimation and other
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and Control Theory - Signal Processing - Interconnected systems - Estimation filters - Convex Optimization For more details, see (p.5) http://www.ampere-lab.fr/IMG/pdf/1_sujet_systhei.pdf Proposal 2
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
optimal control for insertions, necessitating a thorough reevaluation. The inclusion of anatomical structures imposes additional constraints, such as avoiding sensitive nerves. This work will be conducted
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
for the management of electricity markets. At the scientific level, the integration of pollution constraints and learning models into ``multi-leader single follower" optimization models represents a major challenge
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to characterize non-classical quantum states of light, and optimize processes to produce them. Context of the research topic and proposed workplan Non-classical (a.k.a. non-Gaussian) states of light like photon
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informing users and the network of new settings. The goal is to define an adaptive multicast framework leveraging error correction and machine learning to optimize parameters in real time [8]. 1.2. Scientific