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(BPV), INSERM U1347, Institut Pasteur led by Chetan Chitnis for an ANR-funded malaria drug development project in collaboration with INSERM U1177, Université de Lille and Institut Pasteur de Lille
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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working experience and training/habilitation in animal experimentation (mandatory). A PhD level, preferably without former postdoctoral experience or research compatible training such as engineer schools. A
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molecular biology, conventional and spectral flow cytometry, transcriptomics, and immune assays. Candidate profile Candidates should have a PhD with strong background in Immunology, expertise in animal
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PhD in Computational Virology, Computer Science or other related field. Awarded the PhD before the start of this appointment (no previous postdoctoral experience required). ✅Required Skills Familiarity
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pre-clinical settings. The successful candidate is expected to have: Project leadership, drive and dynamism. A PhD level, preferably without former postdoctoral experience or other with substantial
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
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Send your CV along with a motivation letter to [email protected] with [email protected] in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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motivated candidate with: a PhD in immunology, with expertise in T cell/B cell interactions and/or vaccinology an expertise in advanced flow cytometry a strong motivation to learn organ-on-chip technologies a
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candidates with: A PhD (or near completion) in immunology, cell/molecular biology, female physiology, aging biology, or related fields. A strong track record of research and publications. Experience with