97 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions in Luxembourg
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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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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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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