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Field
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a small fraction of the sample voxels need to be re-measured to detect the change, rather than the complete 3D volume. Microchip samples are also highly structured, with known design rules, which can
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finite-temperature anharmonic effects, thereby expanding the existing ab initio thermodynamic database to support the Bayesian inversion framework of the SHARP Thematic Project (Task 21, WP3). The project
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, Chemistry, Materials Science, or a closely related field Knowledge of heterogeneous catalysis, reaction kinetics, thermodynamics, and structure–reactivity relationships Ability to design and operate catalytic
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. This allows us to shift from the standard imaging question of "what is the structure of this sample?" to "how does the structure differ from the known design?". The second question can be answered with far
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-driven and physics-informed learning techniques Development of simulation-based optimization methodologies, including Bayesian optimization, derivative-free optimization, multi-objective optimization
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in advanced quantitative and statistical methods, which can include psychometrics and measurement, latent-variable and structural equation modeling, longitudinal and intensive longitudinal methods
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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