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Field
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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collaborates with prestigious global companies and institutions. This PhD project, a collaboration between AMADE and Btechc, addresses the high computational cost of modelling failure in large-scale composite
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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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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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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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Modelling Tumour Dynamics and Radiotherapy Response: Towards Sustainable and Energy-Efficient Cancer Treatments A PhD position is available in the Department of Physics at the Universitat Autònoma de
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compositions. Initially, supervised learning models such as random forests, gradient boosting, and neural networks will be used to predict composition outcomes based on both literature scrapping and in-house
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building to make it more energy-efficient can lead to an increase in radon concentration. Modelling radon generation and transport in the source media, its entry into a building and its distribution
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thermal management in energy conversion and data processing electronic devices. Fundamental understanding of nanoscale heat transport remains out of reach, and current models beyond diffusion are not