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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | about 23 hours ago
influence on lagoon ecology. Deconvolving the effects linked to trophic variables from those linked to climate change is also a scientific challenge, for which AI techniques (algorithms, machine learning
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical
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with electronics, FPGA/embedded systems, analog circuits or mixed-signal systems; familiarity with NumPy/SciPy/PyTorch; interest in hardware-algorithm co-design and energy-efficiency evaluation
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algorithms have been developed, most based on a hybrid architecture combining transform coding and predictive coding. Standards such as H.264/AVC, HEVC, and VVC follow this principle. While they offer highly
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of molecular networks • Have knowledge of molecular networking (Molecular Network (MN) and Feature Based Molecular Networking (FBMN)) and similarity algorithms: ie, Cosine score • Master the English language
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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approach based on Deep Learning algorithms will be developed and implemented to obtain additional information by coupling the recorded data. Furthermore, the increase in acquisition rates of measurement
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multimedia networks. IEEE Communications Magazine, 2013, vol. 51, no 6, p. 152-159. Work Plan Defence and Space, combining theoretical research, algorithm design, simulation, and experimental validation
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to evaluate both the standard LoRaWAN performance and the proposed adaptive mechanisms. Real mobility scenarios will be reproduced to validate the effectiveness of the models and algorithms in practical
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structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption