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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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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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expression, RNA biology, epigenetics, or viral infections is encouraged Who Should Apply • Junior or consolidating researchers with a strong publication record and an ambitious research program. • Candidates
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for the European Higher Education Area ) in pharmacy, chemistry or a similar subject and a minimum of 4 years’ professional experience in a similar role (e.g. developing and/or maintaining stakeholder engagement
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of partners, putting the collective interest first. You have demonstrated your ability to manage a research program with the necessary scientific rigor. Your enthusiasm for innovation will enable you
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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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, Statistics, Epidemiology or related disciplines Experience in handling longitudinal and birth-cohort datasets Extensive experience in quantitative research (Stata, R, Python, etc.) Fluent in English (speaking
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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interdisciplinary research and computational biology in particular. The fellow will join my team at IPhT, in Paris-Saclay. The IPhT is located just outside of Paris in picturesque Gif-sur-Yvette at the French CEA and
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled