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sensors (IEMN, Y. COFFINIER). This thesis project concerns the development of instrumentation to detect and monitor the progression of a nuclear accident, in order to implement the most appropriate accident
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achieve this, it includes (1) the development of a new SThM probe based on NbN resistive thermometry together with the necessary new instrumentation to improve its performance for cryogenic measurements, (2
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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of psychology, digital health, and artificial intelligence to advance the development and validation of voice-based tools for mental health monitoring in diabetes. The project will leverage data from the Colive
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on questions of lifespan development, views on aging, ageism, preparation for old age, health and well-being, as well as personality and identity development in later life. The candidate will be encouraged
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Fonctionnelle et Evolutive (CEFE), a large, ecology and evolution-focused research institute in Montpellier, Southern France, with possible visits of project partners elsewhere in France. Montpellier is a lively
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to recruitment and promotion of female leaders and their career development.
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Fonctionnelle et Evolutive (CEFE), a large, ecology and evolution-focused research institute in Montpellier, Southern France, with possible visits of project partners elsewhere in France. Montpellier is a lively
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reactivity, but also on positive experiences and the role of strengths and weaknesses in the everyday lives of the very old. The candidate will be part of the Institute for Lifespan Development, Family and
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for Sustainable Development) is a multidisciplinary French public research organization that has been engaged in equitable partnerships with countries of the Global South and French overseas territories for nearly