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Field
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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and working tasks The connection between optimization and machine learning is at the heart of many recent breakthroughs in artificial intelligence and autonomous systems. Many machine learning
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13 Mar 2025 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Biodiversité et l'Environnement Research Field Environmental science Biological sciences Geosciences Researcher Profile First Stage Researcher (R1) Country France Application Deadline 2 Apr 2025 - 23:59...
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the Quantum Information Theory group led by Prof. Dr....
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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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from Marrakech. Department: Green Tech Institute (GTI) 1. Position Identification Job Title: Logistics Optimization and Environmental Resilience & Sustainability Integration Officer – JORF-Lasfar
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Summary We are developing cutting-edge analysis methods in the areas of multi-omics data integration, pathway analysis, subtype discovery, clinical trial optimization, and meta-analysis. Our group
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more of the following research areas: Development of efficient numerical linear
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will include: Establishing and optimizing cell culture protocols under sterile conditions (adherent or suspension eukaryotic cell lines). Designing, establishing protocols and conducting recombinant