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Field
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Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient
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innovation network operating outside the state system, while continuing to perform public research and innovation tasks and to receive state funding within a pre-planned, performance-based, and predictable
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-offs between the modularity (henceforth interpretability) and the efficiency in existing end-to-end modular autonomous driving models. In this PhD project, student is expected to conduct research in
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(earthquakes, landslides, and other gravitational instabilities). Develop advanced numerical models for improving the simulation, the analysis, and the prediction of geohazards, as well as the application
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of meteoritics. This will allow us to provide predictions on the internal compositions and lithological diversity of meteoroids prior to atmospheric entry and test current models of asteroid evolution and the
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kidney disease in adults: assessment and management. Clinical guideline [CG182]. Tangri N, Stephens LA, Griffith J et al A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA
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simulations. Design, develop, and validate physics-informed AI/ML models with features from electronic structure, spectroscopy to control materials growth and emerging functionalities. Develop and train agentic
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We aim to predict the consequences of rapid environmental change such as that due to climate, habitat loss, renewable energy growth, pollution and over-exploitation of natural resources
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Sciences and Technology Who is it for? Scientists and scholars in the Kingdom of the Netherlands who obtained their PhD between three and seven years ago, and do not hold a position as Associate Professor
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in