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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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technologies within our laboratory. - Design and develop processes for synthesizing hollow fiber membranes to meet the specific needs of our research and development projects. - Design and develop processes
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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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valorization. The candidate will work within a multidisciplinary team, including chemists, physicists, and process engineers, with regular interactions to develop innovative and complementary approaches
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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