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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics,...
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The position is located within the Institute for Social Research and Interventions, which is dedicated to critical and multidisciplinary perspectives on societal transformation and human development
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. The thesis work will be undertaken at the University of Luxembourg but can also be jointly-supervised with another university. The suggested theme of the PhD is Digitalisation in European Business Law
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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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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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, which will collect detailed information on the dynamics of stress reactivity, but also on positive experiences and the role of strengths and weaknesses in the everyday lives of the very old. The candidate
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The topic of the PhD will be related to research carried out in our group, focusing on questions of lifespan development, views on aging, ageism, preparation for old age, health and well-being, as
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of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information
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We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning