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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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stress within an epithelial tissue. Characterize transcriptional changes during epithelial morphogenesis. Develop methodologies to link gene expression, systemic factors, and tissue dynamics. Develop
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how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. - Focus on developing new solutions for the scalability of neural networks and large
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze
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. - Mentoring: Supervise young researchers and students within the team. - Independent Research: Develop and lead independent research projects. The successful candidate (M/F) will work as a postdoctoral
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(study conducted by our collaborators in Marseille). The postdoctoral researcher will participate in the design, execution, and analysis of behavioral experiments in humans. Furthermore, they will develop
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the colouration of the glass. Develop an open database that includes all experimental data as well as legacy data. Additional duties and responsibilities • To engage in advanced research within the field
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research topic aims to develop non-invasive, non
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published since 2015 and progressively develop a present-day lithospheric model using LitMod2D 2.0. The postdoctoral researcher will be recruited within the framework of the IDYLLE project (Impact of
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of the femtosecond laser chains and infrared detection chains used in this research work. The activities associated with this position form part of the international effort to develop new laser sources and optical