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clinical trials particularly challenging. The ENDOMIC team (https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically
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embedded FPGA-based intelligence near seismic sensor arrays, you will explore methods to maximize prediction performance while minimizing data transmission and latency. Your key tasks include: Evaluating
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. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience
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, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn
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-disciplinary collaboration, and practical insights into interdisciplinary challenges at the intersection of research data management, data science, and artificial intelligence Excellent Infrastructure
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complex nonlinear models, with unique research opportunities in algorithm and hardware co-design, particularly for resource-constrained environments. Applications focus on edge intelligence
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The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a revolutionary leap in devices, computing architecture, and integration technologies. As digital
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Congress of Embedded Real Time Systems (ERTS 2026) , 2026. ⟨10.82331/ERTS.2026.42⟩. ⟨hal-05513843⟩ [2] Eclipse Aidge. https://eclipse.dev/aidge/ [3] Projet DeepGreen - https://deepgreen.ai/ [4] Projet