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(e.g., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website
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University of Luxembourg, Faculty of Science, Technology and Medicine (FSTM) Position ID: FSTM -PHDGRACE [#24824, UOL06572] Position Title: Position Type: Other Position Location: Luxembourg, Esch
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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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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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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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://www.transformresearch.eu Your profile•Master’s degree in Quantitative Geography / Transport or Civil engineering / Data Science / Psychology / Sociology / Health or Epidemiology / Urban Planning / or other relevant
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Quantitative Geography / Psychology / Sociology / Health or Epidemiology / Transport or Civil engineering / Data Science / Urban Planning / or other relevant quantitative field ;•Excellent knowledge and