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reference) in synchrony with articulation. In parallel, a line of study dedicated to gesture-to-sound-mapping has developed advanced Mapping-by-Demonstration techniques, a user-centred paradigm where
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Development (IDO). Theseresearch areas aim to improve our understanding of how innovative and responsible approaches are adopted atindividual, organisational, and societal levels, and to assess their impacts
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been contributing for the past twelve years in the development of cryogenic pulsating heat pipes (PHPs), also known as oscillating heat pipes. PHPs are two-phase passive heat transport devices patented
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collaborations, and promoting cutting-edge technological innovation to strengthen the French research community. By implementing this strategy, Inserm seeks to support the sustained development and significantly
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challenges. Partners include universities, hospitals, and international research organizations. The proposed project develops a bone regeneration strategy by endochondral ossification, combines human cells
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collaborative French National Research Agency (ANR) project gathering academic and industrial partners around the development of innovative luminescent materials and their integration into functional optical
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psychometric modelling as well as with fMRI in a large pediatric cohort, with the aim of building one of the largest open datasets on brain development for mathematics. Role The successful candidate will be
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research on AI and digital technology in partnership with Southern partners and is committed to co-developing each of its initiatives. Where to apply Website https://ird-career.talent-soft.com/offre-de
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
fluency, completeness, or semantic accuracy [1]. Project description The PhD project will contribute to the development of robust and generalizable sign-to-text translation for low-resource sign languages
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of operators. The objective of this postdoctoral project is to develop methods and systems for the efficient, reliable, and task-specific execution of workflows involving LLMs, with a primary emphasis on