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PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling. In partnership with RECENTRE (see https://www.4tu.nl/recentre/), a
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. These AI tools are based on machine learning (ML) models trained on massive collections of open-source code and allow developers to easily (re)use the programming knowledge aggregated by these ML models
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, statistics, life sciences or a similar area. You possess a strong background in data analytics and machine learning methods. You enjoy gaining, combining, and translating knowledge from multiple fields and
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conduct unique research and design machine learning algorithms for detecting relevant activities from multiple cameras, and possibly other sensors as well. Would you like to work closely with
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& infrastructure modelling, algorithmic decision-making, transportation engineering, uncertainty quantification, geo-data analytics, machine learning, and optimization; Experience with data-driven and/or deep
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academic staff, PhD students and postdocs of the Sequential Decision Making section. We share the ambition to be the world’s top scientists in the field of AI and machine learning, and encourage you to spar
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computer science, data science, or another relevant subject, with practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in human-AI
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research seeks to pioneer intelligent security analytics for a zero-trust 6G infrastructure. This includes developing machine-learning models adept at detecting and neutralising threats and cyber-attacks
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algorithms, staying abreast of the latest advancements and breakthroughs in the field. Develop innovative EM-driven optimization methodologies (e.g. physics embedded machine learning) for sparse 2D Tx-Rx