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models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view of machine learning which clearly integrates the two subject areas within the division
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publish solid contributions at the best machine learning conferences. STIMA is characterized by a modern view of the statistical subject, where probabilistic models are combined with computational
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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application! Your work assignments The primary focus of this PhD position will consist in generating bioengineered models of human trigeminal pain, implement them in organ-on-a-chip systems emulating trigeminal
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in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
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computer-controlled techniques. Through practical experiments, the doctoral student will push the boundaries of these materials, uncovering new design expressions while deepening the understanding
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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the transition towards more regenerative and adaptable furniture systems. Results will be shared through publications, demonstrator projects, and educational models, strengthening the link between research