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international meetings. – Draft manuscripts and contribute to future grant proposals. We are seeking a highly motivated early-career scientist with: – A PhD in Life Sciences (immunology or cell biology). – Solid
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@pasteur.fr ). Required qualifications: Recent PhD degree (including in late 2025) in tumor biology, vascular biology, immunology or related biomedical field, with at least one accepted publication and lab
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reports directly to the Vice-President for Scientific Affairs. He/she is a member of the Executive Committee. Required profile Education and experience Doctorate (PhD) in biology or a related discipline
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
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Shareloc and ImJoy (Ouyang et al., Nat. Methods 2022; Ouyang et al., Nat. Methods 2019), offers an ideal environment for creating tools that unite cutting-edge computation and biology. As part of the ERC
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
a Lymphoid Organ-Chip to evaluate mRNA vaccine boosting. Journal of Experimental Medicine 221(10):e20240289. Qualifications: We are looking for a skilled and highly motivated candidate with: a PhD in
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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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, a computational approach with the generation of realistic models of the auditory system allows us to make theoretical predictions and verify our experimental results. The engineer will be responsible
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protocols to evaluate cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic