23 machine-learning-modeling-"https:"-"Computer-Vision-Center" PhD positions in Netherlands
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theory, latent change score models) comparing shifts in how children and AI-models learn to reason. Teaching is limited to 5% of the contracted hours, by assisting in courses and supervising (bachelor
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coding skills in Python. You are strongly motivated to acquire advanced skills in Python and in the use of high-performance computer systems You have affinity and preferably experience with system dynamics
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on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models
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training data, when these are available, and also to learn from real-time, potentially non-IID, streaming data; should be able to track the evolution of key features and achieve model plasticity while
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knowledge of and/or experience with validation of prediction models (regression or supervised machine learning), health technology assessment, decision curve analysis, and/or value-of-information analysis
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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that requires tightly integrated approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models, with emphasis
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Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
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evaluation under regulatory constraints (e.g., AI Act considerations). You also possess: experience with machine learning and model development; affinity with explainable AI, recommender systems, or hybrid AI