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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
this thesis, we will focus on the models expressed by logics and data. These models are used in order to check different properties about these models in order to check that the models are correct and coherent
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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Ensuring good water quality in cities is vital for a healthy city: in this PhD you will develop monitoring and modelling strategies to help design resilient water cities of the future. Job
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direction of the laboratory. Duties & Responsibilities Project Leadership & Innovation Conceive, design, and direct highly complex research projects involving murine models, de-identified human samples, and
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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content is created. Whether it is text, images, or music, generative AI can often produce results that match or surpass results created by humans. However, when it comes to engineering design, and
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Infrastructure? No Offer Description Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD
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behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design a public transport network that includes both traditional fixed lines and flexible on-demand services, while
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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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for pavement lifetime prediction, primarily in Dutch conditions. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data