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evaluation of virtual tutors (recommendation systems) by working at the intersection of education sciences, psychology, and data engineering. The main tasks of the successful candidate will be: - Designing and
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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, or both, of the ID32 branches are encouraged to apply. For more details see: https://www.esrf.fr/ID32 Further information may be obtained from Nick Brookes (tel.: +33 (0)4 76 88 24 39, email: brookes
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plasma-assisted chemical vapor deposition (MPACVD); - Optimize the synthesis on the different types of substrates used; - Develop substrate preparation protocols designed to promote the adhesion of diamond
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devices are designed to operate at specific near-infrared wavelengths while remaining minimally perturbative across the rest of the optical spectrum. A key scientific challenge of the project is to achieve
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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materials and devices. The postdoctoral researcher will work in a stimulating scientific environment that promotes interaction, collaboration, and innovation, and will benefit from the collective expertise
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generation of laser sources. These devices are based on a physical separation between electrical addressing and optical emission, enabling the design of addressable Tamm lasers with high potential
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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dilution while minimizing by-products. He or she will need to implement various techniques to best characterize the grafted functions. In particular, they will interact with the MolQIf consortium teams