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or the glutamate receptors, little is known about the interactome of neuronal nAChRs. We are looking for a highly motivated post-doctoral fellow to conduct an integrative structural biology approach to identify and
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microbiology, fungal biology or a related field. • Experience with imaging, fungal molecular biology and flow cytometry techniques. • Excellent communication and teamwork skills. • Proven track record
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Pasteur center, in Paris (France). We are seeking an outstanding, highly motivated advanced scientist in molecular biology and neuroscience for projects on gene regulation and gene regulatory networks with
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performance of diagnostic tests when these tests are imperfect. The case of plague in Madagascar in 2017. ten Bosch et al, PLoS Biology 2022 Development of an ensemble model to forecast COVID-19
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The Microbial Evolutionary Genomics lab (head: Eduardo Rocha) at the Institut Pasteur in Paris is inviting applications for a postdoctoral position in comparative genomics, computational biology
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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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-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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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