106 parallel-and-distributed-computing-"DIFFER" positions at University of Luxembourg
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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Programme , which prioritizes the recruitment of female scholars to professorial roles. For an initial period of six months, the University will consider applications exclusively from female candidates
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Programme , which prioritizes the recruitment of female scholars to professorial roles. For an initial period of six months, the University will consider applications exclusively from female candidates
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The University of Luxembourg is a multilingual, international research university with a strong focus on interdisciplinarity and innovation. As part of its commitment to responsible and efficient resource management, the University has established a central Procurement Office to define and...
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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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strategic expansion, the DLSM seeks a Professor who, within the next 5 years, will coordinate the department’s medical domain and will work closely with study programme directors, clinical partners and
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The Faculty of Science, Technology and Medicine is seeking a dedicated and innovative Software Developer with expertise in Moodle to join our Faculty of Science, Technology, and Medicine (FSTM). This position is pivotal in advancing our strategic goals in international academic collaboration,...
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photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen
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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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. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography