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engineering of non-equilibrium cold plasmas, as well as environmental and biomedical applications, via fundamental studies ranging from basic data to the multi-physics simulation of discharges and reactors and
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, targeted results and impacts The methodology combines generative AI, protocol analysis, and practical validation in simulated and real-world IoT environments: Theoretical Development: Train and fine-tune
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suppression, dosage compensation) will be addressed. These models will build on the recent development of chromosome-scale simulations developed for the study of sex chromosomes (2–5). References: 1. N. O
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projects related to magnonics, spintronics and magneto-acoustics. We are looking for a candidate with a strong motivation for experimental work, although simple modelling and numerical simulations are also
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
(you can choose between) not applicable The goal is to develop methods, techniques and tools to prevent deserialization attacks in applications. Is regular travel foreseen for this post ? No Assignments
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., Mabrouk, M. T., Pasdeloup, B., Meyer, P., & Lacarrière, B. (2024). Topology reduction through machine learning to accelerate dynamic simulation of district heating. Energy and AI, 17, 100393. 2. Partners
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Bugs in Graphics-Intensive Mobile Apps," 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), London, UK, 2016, pp. 115-124
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thermal decomposition Heat Transfer: Model radiative, convective and conductive heat transfer within the incinerator Simulate temperature profiles in the rotary kiln and SCC (gas and solids) Fluid Dynamics
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Sony STC focuses on R&D in various fields including machine learning and audio processing. The site has several audio laboratories and has an on-premise GPU cluster for simulation and neural network
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design a study ‘population’ to broadly span patient variability. Machine learning (ML) will be used to predict the highly informative results of an FE simulation for a specific patient without actually