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at various levels (Bachelor, Master, PhD) Provide lectures in Theoretical Computer Science for bachelor and master programs Advise PhD candidates and contribute to doctoral and postdoctoral training (e.g
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Leveraging the spatio-temporal coherence of distributed fiber optic sensing data with Machine Learning methods on Riemannian manifolds Apply by sending an email directly to the supervisor
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protein expression and purification, capable of producing thousands of proteins in parallel within weeks . 2) Eukaryotic expression systems facility for production of challenging protein targets. 3) A fully
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. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed
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of the biological bases of normal and pathological behaviors. Required Qualifications: PhD or equivalent experience in neuroscience, computer science, engineering or a related field. Proven experience in
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Description This PhD project bridges computational neuroscience and machine learning to study the mechanisms of active forgetting—or unlearning—through the lens of both biological and artificial systems
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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on several aspects to explore in parallel: - Develop the experimental set-up to enable Low-Energy SAXS measurements on Attolab’s set-up (through punctual mission (2 or 3 times a year for 1 to 2 weeks
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the exact calculation of the square-root and inverse square-root of the source distribution covariance matrix. This approach offers analytical and computational advantages in comparison to existing methods
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Research Engineer in optimization and Design Space Exploration for Next-Generation Computing Systems H/F IN SUMMARY, WHAT DO WE OFFER YOU? We are looking for an Research Engineer in optimization and