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. The Early Stage Researcher will be enrolled in the PhD doctoral programme at the Universidad Autónoma de Madrid (UAM). Project title: Modelling of thermal transport in 2D materials and devices based on them
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seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected
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analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI
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new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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. These capsules will offer multimodal therapeutic capabilities by integrating chemo-enzymatic reactions and photothermal therapy. In parallel, realistic in vitro models incorporating relevant cell types
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research
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) - Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. - English: demonstrated ability to write and edit scientific texts in English. Specific Requirements - Quantify
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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be