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that help determine when an AI model is ready for use and when more research is needed. PhD in Epidemiology on value-of-information from validating clinical prediction models and AI Our goal: Develop value
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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, energetic processes. Approaches are experimental, with a great emphasis on optical methods as well as theoretical, through modeling of reacting flows. The laboratory is thus developing experimental diagnostic
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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by understanding how cancer risk prediction models are influenced by missing and incomplete symptom data recorded in electronic health records (EHRs) and developing methods to address any issues
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-based predictive models. The successful candidate will develop a highly valuable combination of advanced simulation, AI, and experimental validation skills. On the computational side, they will gain
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, and artificial intelligence to develop predictive models and computational tools that guide the design of new antibiotics. The postholder will contribute to the development of predictive and generative
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Research Associate to develop and apply new modelling approaches to understand how development shapes population dynamics under environmental change. The role sits within a NERC-funded project on development
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systems. Predictive understanding of these interactions is essential for rational formulation design, but reliable theoretical models for these systems remain underdeveloped. This PhD project will develop
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
geometric transformer model to predict protein binding interfaces in flexible and disordered regions. Cell Systems, 10.1016/j.cels.2025.101454 The PhD candidate will: Curate and analyze large-scale datasets