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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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group (depending on the profile, materials under pressure, MOF coordination polymer design, multi-objective optimization Tc/HEDM/reactivity, etc.). - Calculating the electronic structures
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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thermodynamic, kinetic, and transport phenomena. - Optimize the design and control of electrified processes to effectively manage the heterogeneous and dynamic feed compositions associated with non-traditional
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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of control software and data management systems for the automated laboratory. Development and deployment of AI algorithms for adaptive experimental planning, optimization of experimental space, and automated
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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investigation in a real or controlled environment. The project falls within the "Nanostructures Axis". Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7374-DANFOR-003/Candidater.aspx Requirements
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on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has experience with modern