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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 months ago
the PEPR Future Networks , and its PERSEUS project. PERSEUS focuses on the technologies, processing and optimization of next-generation cellular cell-free networks. This includes the development of robust
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. This postdoctoral position is funded through Hi!PARIS Chair ATLAS (Advancing efficient, reliable and science-informed Learning for non-euclidean data with Application to molecule and biological network Structures
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
has worked for over a decade on advancing the theoretical foundations of reinforcement learning, using a combination of tools from statistics, optimization and control, in order to build more efficient
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sources and can host controllable spins for quantum memory and processing. Integrating spin and photonic properties enables efficient quantum networking through entanglement, while embedding these centres