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/phd-in-connectomics-analysis-of… Requirements Specific Requirements MSc in any of the of the following fields: Neuroscience, Mathematics, Physics, Artificial Intelligence, Informatics (webdevelopment
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of artificial intelligence , traffic management, and decision support systems. The successful candidate will explore the application of foundation models, such as large language models (LLMs), to support and
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grounded in real-world accessibility needs. We are seeking a highly motivated PhD candidate with a strong interest in artificial intelligence, accessibility, and human-centered design to join the TACIT
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operational constraints and economic motivations across the value chain. To address these challenges, the project will develop multi-modal artificial intelligence methods to characterize metal scrap composition
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knowledge. Within the Faculty of Science and Engineering, a 4-years PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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in Computer Science, Statistics, Artificial Intelligence, Data Science, or a related field; Strong knowledge of and experienced with machine learning, data mining, and statistics; Knowledge of and
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degree in Computer Science, Artificial Intelligence, Data Science, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong
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at LIACS; Write a dissertation. Selection Criteria A MSc degree in Computer Science, Natural Language Processing, Artificial Intelligence, Computational Linguistics or a related field; Strong background in
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Language Processing, Artificial Intelligence, Computational Linguistics or a related field; Strong background in NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with
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degree in Computer Science, Natural Language Processing, Artificial Intelligence, Computational Linguistics or a related field; Strong background in NLP, machine learning, and deep learning. Excellent