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Field
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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melanogaster. This project will take the next big step: moving from finding sexually antagonistic genes to uncovering what makes them special, how they affect fitness and life history traits, and the molecular
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overcome resistance conferred by the yellow rust resistance gene, Yr15. Due to the widescale deployment of this single resistance gene in UK wheat varieties, a large portion of UK wheat acreage is now
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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, CTR) Design and implement physics-informed deep neural network architectures which accelerate finding electron bunch shapes self-consistently for large measurement campaigns Implementation and
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experience (PWLE) to co-develop an accessible "second skin" for the interface, ensuring usability and inclusivity. Assist in data analysis, including harmonisation of large-scale datasets and exploration
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3 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Neurosciences de la Timone Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop
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for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance