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the expected durability objectives. In this context, LEPMI will participate in the co-construction of a platform for modeling the aging of cells and stacks. To achieve this objective, the work to be carried out
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also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record
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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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the Geosciences Department at ENS-PSL. Its aim is to develop research actions that meet the objectives of the DASE, drawing on the expertise of the teams in the Geosciences Department at ENS-PSL, and in
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technique based on CLCE coating. This new technique, combining a novel material coating with a camera-based tracking system, aims to provide a unique spatially-distributed bridge monitoring, leading to new
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track record on one of the following research areas: Trustworthy AI AI for formal methods Formal methods for AI The successful candidate will participate in the activities of the research group led by
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, glass and slow dynamics, magnetic and fracture properties of disordered solids, complex fluids, colloids, thermoelectricity & heat transfer, active matter and biological objects,… The common challenge, in