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strong background in Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal
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Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics
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(EMG), to capture detailed motion, interaction forces, and muscle activity. Predictive Physiological Modeling: Development of machine learning models capable of anticipating motion intent while
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Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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, vol. 167, p. 115644, Mar. 2025. https://doi.org/10.1016/j.microrel.2025.115644 [2] A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
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prediction? You will join the project “From Toy to Cloud Modelling: Leveraging Molecular Simulations to Improve Atmospheric Models of Ice Nucleation” (NERC APP25329). The project is developing physically
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documents uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz High-Velocity Dust Impacts on Tungsten Plasma-Facing Materials: A Predictive Multi-Scale Modeling Framework with
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the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication
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systems capable of selecting and combining models of different complexity, in order to better represent groundwater dynamics and improve large-scale predictions under climate change. Objective — The PhD
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methodologies for modeling and predicting the properties of complex materials and surfaces, including doping and/or functionalization to optimize their physicochemical characteristics Where to apply Website http