21 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Institut Pasteur
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researchers as needed. Qualifications PhD Degree: A Ph.D. in Statistical Genetics, Computational Biology, Bioinformatics, Epidemiology, or a related field. Statistical and Programming Skills: Proficiency in
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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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, including Titan Krios and Glacios microscopes, a fully equipped crystallography platform, advanced computing clusters, proteomics and BSL-2/3 imaging facilities. The institute provides numerous training
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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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biology OR virology A solid background in virology, transcriptomics and imaging Hands-on experience with experimental animal and/or iPSCs models Technical expertise in working in BSL-3 environment A
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in Statistics, Bioinformatics, Computer Science or other relevant disciplines with a strong quantitative background. Previous experience working with large scale data are welcome. Contact: Interested
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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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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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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control