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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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simulation : Aspen HYSYS/Plus. • Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. • Life Cycle Assessment (LCA): experience with, e.g., Brightway2/SimaPro/Activity
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models of spinal cord injury (SCI) to study regeneration and evaluate therapeutic strategies. Project Overview: This PhD project aims to develop and compare humanized in vivo and in vitro models of spinal