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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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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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interactions, NEUROH-CHANGE develops multifaceted solutions to address these challenges. The initiative supports Luxembourg's sustainable knowledge society by improving health, education, and the environment. As
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together world-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. It is located in
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outsourcers. Data analysis basics (with Python or MatLab) is also demanded. General knowledge about embedded software programming may be required (but not compulsory).
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biology. Biochemical purification of proteins. Languages skills: fluent command of English; knowledge of another language of the European Union is an asset. Researchers are supported by easy access to
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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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experience are substantial advantages).•Knowledge of cellular and molecular biology.•Good level of English language, as this will be the working language for the project.•Critical thinking and decision making
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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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-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. Most teams associate fundamental