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developments in audiovisual media distribution. Audio and video media distribution technologies have evolved significantly. The expansion of broadband networks has enabled the development of new video services
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learning in neural networks within the ANR-funded MAPLE project, under the supervision of Dr. Bruno Loureiro . Funding is available for two years. Responsibilities Conduct research on the mathematical
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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data from measurement and observation networks, as well as snow testing protocols, to provide access to a larger, harmonized information system on both sides of the border; Mutual training and
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Social Sciences department (DI2S). Working with the project team, you will conduct qualitative surveys. You will contribute to scientific output through the drafting of communications, articles, and books
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Biol - Morand G et al (2024) Predicting species distributions in the open ocean with convolutional neural networks. Peer Community J Main activities (in chronological order): - Familiarise oneself with
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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related field, with a strong focus on optimization. Technical Skills Proficiency in programming, preferably in Python or a similar language commonly used in optimization. Familiarity with mathematical
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that couples high‑performance computing with instrumental platforms integrated in the UPPA‑Tech network. Five platforms are directly supported by IPREM: POLYCaTS (polymer analysis and characterisation
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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering