110 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at University of Luxembourg
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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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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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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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Disease (NCER-PD) is an interdisciplinary program combining clinical, experimental, and computational approaches to Parkinson’s disease research. NCER-PD is a flagship programme funded by the Luxembourg
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of surgery, anaesthesia/resuscitation, paediatrics, and mental health. A fifth programme ‘Bachelor of Nursing in General Care’ started in September 2024, while two more bachelor programmes – Midwifery and
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, to support our activities within the NEUROH-CHANGE project (Resilience of Neurological Health in Global Change: A One Health Approach). NEUROH-CHANGE is an interdisciplinary research program aimed at enhancing
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to...
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of computer science, cryptography. All positions are fully funded for up to 4 years. Candidates should have (at the beginning of the contract but not necessarily at the time of application) a Master's degree in
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society