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, or even months to derive a suitable hardware model. This limitation is only exaggerated when considering the digital representation of multicore computer systems, requiring the modelling of a broad range of
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technologies for clays rely on high-temperature roasting followed by aggressive acid leaching, processes that are energy-intensive, generate substantial chemical waste, and produce significant carbon emissions
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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 18 days ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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with local cellular and molecular processes. The successful candidate will develop a multidisciplinary research program combining in vivo and in vitro approaches. Experimental work will involve advanced
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post-mortem human brain tissue and map these states in relation to disease pathology in AD tissue. In parallel, immune responses will be modeled in human stem cell–derived systems to identify regulatory
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to operate with resilience, reliability, and adaptability. The work will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on
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will focus on understanding structure–property relationships in hard carbon, with particular emphasis on microstructure, surface chemistry, and solid electrolyte interphase formation. In parallel
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the analysis of aircraft-based observations, controlled laboratory experiments, and the development of advanced simulation tools. In parallel, GRAIL addresses key technological challenges, including