29 postdoctoral-image-processing-in-computer-science-"Multiple" positions at Institut Pasteur
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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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, computer science, population biology or a similarly quantitative discipline.
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
scientific fields Expertise in tissue engineering will be an asset. Good communication skills in spoken and written English are essential. Application: Interested candidates can submit their application with a
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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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improvement/adaptation of techniques and analyses according to research projects Skills • Education: – Master’s degree in neuroscience, biophysics, engineering, computer science, or a related field • Desired
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ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
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. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications should be sent to pierre.guermonprez@pasteur.fr ; julie.helft@inserm.fr
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to muscle physiology and clinical applications. Specific Skills or Experience Required/Desirable: The project will involve experimental and computational work. The student will become familiar with a
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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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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