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. Moradinezhad. About LAPTh (https://lapth.cnrs.fr ): LAPTh is a mixed research unit (UMR) of CNRS and Université Savoie Mont Blanc (USMB). Its scientific activities span cosmology and astroparticles, particle
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for deviations from SM expectations. This effort requires a global analysis of the LHC data to fully exploit the information it provides about physics at the TeV scale and beyond and thus maximise the LHC physics
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Orsay (Île-de-France). It brings together about one hundred researchers and research professors, experimentalists and theorists, and research activity is supported by some sixty engineers, technicians
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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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as a model system to probe how cells handle large, complex cargoes. Collagens are the largest and among the most abundant proteins secreted by animals, and their biosynthesis challenges the secretory
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time, or place, or quantity? In many different fields of cell biology, there are debates about whether and how much the explanation of the production of the right cells is to be imputed to lineages
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technique) will be a key asset for this role. If you are passionate about innovative research and eager to contribute to advancing sustainable energy solutions, we look forward to your application
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quite new within the field of computer vision. The neuromorphic design allows for a much higher acquisition frequency but most and foremost much longer acquisition time spans. This makes it ideal
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climate change over century to millennial time scales. The most unique expertise of the group includes pollen-vegetation modelling (pollen-based quantitative reconstructions of past vegetation cover
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of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial