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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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].The detailed role of m6A modifications in radiation biology is still poorly known but is currently under intensive investigation [11]. m6A-related radiation-sensitive biomarkers (such as Ncoa4, Ate1 and Fgf22
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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
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa Chakrabarti at the Pasteur Institute in Paris. The position is fully funded for 3 years in the frame of an...
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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The Mouse Genetics Laboratory is recruiting a post-doctoral fellow to study the role of host genetic determinants in the transmission of Zika virus between mice and mosquitoes in a collaborative project between the Mouse Genetics Laboratory (https://research.pasteur.fr/en/team/mouse-genetics/ )...
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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. Candidate requirements: Applicants should have a strong background in human B-cell biology, and molecular immunology, particularly in antibody research. The ideal candidate will be enthusiastic, adaptable