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sustainability outcomes. Your primary tasks will be to: Explore, develop and evaluate different machine-learning methods for defining urban mobility culture typologies Big Data analysis and visualizations Collect
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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position is part of a large-scale research project around immune response in neurodegenerative disease. The PhD student will be part of a data science team working on data analysis and experimental design as
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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. Please submit these documents as a single pdf. Please include “PhD Application (Interpretable Machine Learning)” followed by your name in the subject line. The application CV should, at minimum, include
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data
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application! We are looking for up to two PhD students in Generative AI and Machine Learning Your work assignments We are looking for up to two PhD students working on generative AI/machine learning, with
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approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat