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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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of their career developing state-of-the-art statistical and mathematical methods to analyze epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Transfer of relevant results to various communities from science and politics to a broader public Academic self-administration (Institute, Department and Faculty) For questions and further information
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of the project is to exploit such data to develop generative models for aptamer design. The candidate is expected to have a strong background in machine learning and statistical physics, with a real interest for
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several partners relying on iron garnet films for their investigations, and notably for ultra-coherent magnonics at low temperatures. For more detailed information about the two positions (requirements
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information for three referees, to: – Professor Christine PETIT, laboratory director: christine.petit@pasteur.fr – Muriel SUDRES, project manager : muriel.sudres@pasteur.fr
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
detailed CV, a cover letter detailing skills and motivation, and contact information for 2/3 references to Lisa Chakrabarti: chakra@pasteur.fr. Web site: https://research.pasteur.fr/en/team/group-lisa
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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