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well as tumor/tumor microenvironment interactions in gliomas and pediatric embryonal brain tumors. Projects in the Cavalli lab are developed within a dynamic and collaborative environment with other researchers
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a machine learning model (foundational model) to propose protocols of sequential induction of transcription factors to generate desired cell subtypes. The project will be conducted in close
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at an internationally leading university and a renown center for research on social and educational inequalities ● Opportunity to advance your research skills in a collaborative setting, as part of the ERC LEARN team
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correlations. - Analyse experimental data mixing both quantum optics and solid-state physics phenomena - Supervise PhD students and interns - Ensure an efficient collaboration and information sharing with
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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, statistical and case of study of switchbacks. Comparaisons with synthetic observations from the dedicated simulations of the JET2SB project. 2) Collaboration with the local LPC2E team, as well as the full
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collaboration with the project's principal investigator and partner laboratories, the postdoctoral researcher recruited at Praxiling will be responsible for the linguistic analysis and modeling of the multimodal
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project FBCUBES (France-Brazil Collaboration on Universal Behavior of Exotic Nuclear Systems) and contribute to one of its core work packages. The position focuses on developing and applying the No-Core
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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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) department. In collaboration with the project team and experts from ANSSI, you will analyze network flow reassembly policies within firewalls and TLS interception tools. Your mission will be to design