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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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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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adenocarcinoma. Candidate profile We are looking for highly motivated individuals willing to bring new insights into the biology of adaptive immunity against cancer and spark innovation in cancer immunotherapy in
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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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addressed by harnessing advances in tissue engineering, via the design of new organ-on-chip models that mimic features and functions of human lymphoid tissues in vitro. In this project, we will take advantage
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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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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
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@pasteur.fr ). Required qualifications: Recent PhD degree in tumor biology, vascular biology, immunology or related biomedical field, with at least one accepted publication and lab experience in one or more
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in