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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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guidance. Responsibilities The recruited postdoc will be responsible for: Taking initiative in selecting appropriate AI models for memory access prediction. Driving the experimentation and evaluation process
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initiative that aims to unravel the neurotropic mechanisms of SARS-CoV-2. The project seeks to understand how infection can lead to the development of persistent long Covid symptoms and trigger
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analysis. Yet, there is a need for a comprehensive computational framework that can better integrate the information derived from both experimental and computational analyses and help chemists analyse
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for administration into the brain. - experimentation on living organisms - behavioural analysis. 100% laboratory work with physical presence. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7275-HELMAR
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Quantum mechanics is the fundamental theory that rules the way nature works at the microscopic scale. However, a fully quantum description is often a fierce challenge, both for analytical
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coordinated mechanisms, which include DNA Damage Response (DDR), the control of cellular proliferation or apoptosis induction. IR exposure might lead to genomic instability, chromosomal aberrations and cancer
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populations to transmit ZIKV. In this collaborative project, we aim at characterizing the mechanisms underlying the transmission of Zika virus using an integrated approach that considers genetic variation in
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that have already been screened could be suitable for encoding sound optically. However, the mechanism responsible for this neural gain is unknown, as is its robustness to brain plasticity following hearing
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for young scientists and for their training, with many fruitful collaborations between teams. Mission The postdoctoral fellow will work on projects aiming to decipher the molecular mechanisms regulating