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will work under the main supervision of Prof. Holger Voos and will be required to perform the following tasks: Carry out the aforementioned research with collaborators at the SnT and at INRIA Lille
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Successful candidate will join the Bioinformatics Core, led by Prof. Reinhard Schneider, which focuses on managing and analysing complex biomedical and clinical data. We are internationally
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evidence-informed health strategies for a more resilient and sustainable future. Contact: Prof. Dr. Ralf Seppelt, Director of the Luxembourg Centre for Socio-Environmental Systems (LCSES) Email: ralf.seppelt
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to practical and scalable solutions for global food security challenges. Contact: Prof. Dr. Ralf Seppelt, Director of the Luxembourg Centre for Socio-Environmental Systems (LCSES) Email: ralf.seppelt@uni.lu
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will be employed at Doctoral level (PhD) at the Department of Computer Science of the University of Luxembourg (UL). She/he will be supervised by Prof. Dr. Christoph Schommer and is expected to conduct
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programme and three Master’s programmes, alongside a robust range of outreach activities, and is dedicated to training the next generation of researchers - PhD candidates and postdoctoral scholars. With a
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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 application is highly encouraged, as the applications will be processed upon reception. To ensure full...
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conducts research on the application and the impact of emerging technologies like DLT/Blockchain, GenAI, Natural Language Processing, Machine Learning, Human-Computer Interaction, and IoT/5G on organisations
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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
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The University of Luxembourg is seeking a passionate and entrepreneurial Research Engineer to join a cutting-edge applied research initiative funded by the FNR JUMP programme at the SnT research