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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state-of-the-art
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(printed circuit board). The challenge of this research is to both develop thin coatings deposition and identify their physico-chemical structure at the interfacial region, requiring the use of complementary
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education settings. Insights gained from this research will contribute to the continuous and reflective development of pedagogical practices, providing evidence-based guidance for institutions and supporting
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to the development of new methods and assays to study VF functions Participate in and contribute to microbiome- and cancer-related projects Ensure scientific quality management and comply with quality assurance
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
combination of plasma diagnostics (e.g. OES) and surface characterization techniques (FTIR, SIMS, XPS), the project seeks to develop a scientifically grounded, scalable plasma treatment process. The outcome