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Field
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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Are you eager to explore how AI can enable inclusive co-creation for neurodiverse children? Would you like to work at the intersection of design, artificial intelligence, and social impact, while
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challenge models, vaccine development and evaluation, laboratory science at the interface with artificial intelligence, with superb opportunity for career progression in a stimulating academic environment at
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hydrogen fuel cell- and electric battery-powered vehicles by applying Artificial Intelligence paradigms” of the University Institute for Computer Research. Reference: I-PI 70-25 Pursuant to the provisions
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challenge models, vaccine development and evaluation, laboratory science at the interface with artificial intelligence, with superb opportunity for career progression in a stimulating academic environment at
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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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and advanced computational approaches, with a strong focus on metabolomics and artificial intelligence. The PhD candidate will: Conduct research as defined in the project’s research plan. Contribute
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Engineering, a 4-years PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic of formal verification of distributed systems