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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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developed an in vitro gut-on-a-chip model to study the human-microbial crosstalk. HuMiX mimics closely the physiological conditions of the gut and allows for proximal co-culture of human cells and microbial
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addresses of three referees (if available) Online applications should be addressed to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node. Early
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The Research and Development Specialist will be responsible for establishing, developing and maintaining new and existing computational mass spectrometry and cheminformatics software and workflows
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to leverage on the fast-developing expertise in multi-disciplinary forest research in Luxembourg, LIST, in collaboration with the University of Luxembourg and the Luxembourg Institute of Socio-Economic
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currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and
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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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(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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collaboration, LIST and an industrial partner are willing to develop innovative electroplated copper-based composites reinforced with metallic/ceramic and Carbon nanostructures. The aim is to significantly