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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/ The person will pursue a Ph.D. degree (Doctorate) in computer science and information system
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associated threats. The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework
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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE
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background in ecological/environmental sciences and with a marked interest for fieldwork and for the development and use of innovative methods for the acquisition and processing of field data. How will you
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Lorentzian manifolds through experimentation (Karin Melnick) - Representation-theoretic methods in algebraic geometry (Karin Melnick & Pieter Belmans) - Computational experiments with 3-dimensional hyperbolic
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Software (HANDS) research unit, focuses on assessing and enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation. How will you contribute? We
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Education:MSc degree or equivalent in Computer Science or Engineering Experience: The ideal candidate should have some knowledge and/or experience in several of the following key topics: Energy
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adoption through methods and tools for compliance, readiness, and performance evaluation. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning