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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Experience working in a research environment or on research projects is a plus Familiarity with AI and Machine Learning is a plus Excellent communication and collaboration skills, with the ability to work
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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methods, clustering, and machine learning. Advanced level of expertise in the R programming language Skills appreciated: Mastery of classical tools and methods for analyzing NGS (Next Generation Sequencing
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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frontier of cardiac electrophysiology” as it continues to puzzle cardiologists [JAN14]. Physiological signal analysis and machine learning arise a key tools to improve the understanding and management
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clinical activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the Bachelor's program in clinical imaging technologies and related
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activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the bachelor's programme in medical imaging technologies and related fields. He
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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clinical activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the Bachelor's program in clinical imaging technologies and related