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Offer description A post-doctoral position for 24 months is available immediately for an advanced scientist in data science and modeling at the Centre for Research and Innovation in Humans (CERIAH
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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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exploited by the tumorigenic process. Candidate profiles We are seeking highly motivated candidates with: A PhD (or near completion) in cancer biology, immunology, cell/molecular biology, or related fields. A
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resolution Utilize cutting-edge techniques including microelectrode arrays, microfluidics, animal behavior and spatial transcriptomics under infectious conditions Bridge hamster and human biology to find common
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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 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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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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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
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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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Islands. NPJ Genomics Medicine. 2019 Jan 21;4:1. de Chaumont F. et al. Live Mouse Tracker : real-time behavior analysis of groups of mice. Nature Biomedical Engineering 2019 3(11):930-942. Huguet G. et al