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uncertainties (delays, resources, failures) using various methods, including Bayesian approaches. 3. Optimize the workshop configuration, taking into account scenario variability, by relying on the surrogate
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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integrated Optics / Photonics or a related discipline. ● A strong track record demonstrating excellence and creativity. ● Experience in design and simulation of integrated photonics components, including
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tomography (SPECT) is an imaging technique that tracks the 3D distribution of a radioactive tracer administered to a patient to monitor certain biological functions. The long acquisition times (10-40 minutes
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PhD in chemistry, biochemistry, biophysics or structural biology (or related discipline) and has experience in protein expression and purification as well as a proven track-record in solution NMR
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skills, and proven track-record in at least two of these three areas: fluid mechanics, active matter, and reinforcement learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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, or colloidal nanocrystal manipulation. A track record of scientific publication is essential for application. A minimum of 15 publications is required to apply (strict rule). The candidate should have a strong