44 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Luxembourg
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both the private and public sectors
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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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, Reasoning and Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subjects of the research are: AI-assisted Bond
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Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subjects of the research are: AI-assisted Bond Issuance, Causal
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approaches - such as machine learning, artificial intelligence, or other data-driven methodologies - will be an asset. This position is part of the University of Luxembourg's tenure-track scheme, which offers
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technologies, biophysics, soft and living matter, photovoltaics, spectroscopy, and machine learning. DPhyMS fosters a collaborative spirit through partnerships with all faculties at Uni.lu, national research
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The University of Luxembourg is an international research-intensive university with a distinctly multilingual and interdisciplinary character. The University’s main Library, the Luxembourg Learning
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transcriptomics, and genome-scale auto-antibody profiling, the project seeks to uncover novel immune mechanisms underlying early neurodegeneration and identify potential predictive biomarkers and therapeutic
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existing activities in the health sector and ICT/digital learning and teaching. All three areas benefit from the Competence Centre’s expertise and tools in digital learning, which include online courses
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is