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Applications should include: Curriculum Vitae Cover letter Contact information of two or three referees Research statement and topics of particular interest to the candidate (max 1 page) Early
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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funding scheme of the Luxembourg National Research Fund (FNR) and the programme’s partner institutions: University of Luxembourg, Luxembourg Institute of Health, and Luxembourg Institute of Science and
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team focuses on critical information
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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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momentary assessment) and the combination of self-report and sensor-measured data. There will also be the opportunity to contribute to longitudinal survey studies and analyze existing datasets. The person is
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Trade Economics. The thesis work will be undertaken at the University of Luxembourg. The suggested theme of the PhD is Quantitative Urban and/or Trade Economics. The candidate is, however, welcome to
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for validation approaches Become an active memberwithin the Institute of Advanced Science at the University of Luxembourg in which the project is hosted For further information, please contact Prof. Alexander