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, nanoparticle structure, and function. This position is located within an area subject to the French Protection of Scientific and Technical Potential (PPST) regulations. Consequently, in accordance with French
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Experiments (DoE) and Bayesian optimization, manage research data using the NOMAD research data infrastructure, and apply data-driven optimization strategies. Analyze and interpret experimental data
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reproducible pipeline integrating epidemiological, vaccination, intervention, and variant data, with a temporal structure suitable for time-dependent modelling. (ii) Portfolio of expert models. Develop and fit a
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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
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automation principles, self-driving labs, and/or robotic experimentation platforms. • Experience with sequential/active learning, clustering algorithms (e.g. KNN, random forests), Bayesian optimization, and/or
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-informed learning techniques; Development of simulation-based optimisation methodologies, including Bayesian optimisation, derivative-free optimisation, multi-objective optimisation, model calibration, and
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statistical analysis including multivariate methods, data reduction techniques, structural equation modeling, survival analysis and Bayesian hierarchical imaging models, graph neural networks. The specialist
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
approach is based on neural techniques known as SBI (Simulation-Based Inference) [Cranmer et al., 2020]. SBI enables the resolution of inverse problems using generative AI methods and Bayesian statistics
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description The Sars-Covid virus genomic RNA encodes a small number of structural proteins, one of which is the N-protein. This N-protein plays a strong role in packaging the genomic RNA; yet, how this