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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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collaborations at both European and international levels. Context Recent advances in computational mass spectrometry-based metabolomics have unleashed a massive amount of chemical knowledge from metabolomics
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
Preferably, experience in the design and the construction of chemical-physical equipment Preferably experience in handling of milligram-amounts of material Good knowledge in the fields of material properties
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, structural biology or related discipline. The candidate should demonstrate an academic record of excellence, and a strong interest in the growing field of structural immunology. Special Skills, Knowledge, and
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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campus in Ghent, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. The Vandepoele lab (https://www.vandepoelelab.be/ ) is home to
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential