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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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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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Our laboratory has one position available for postdoctoral fellow in the area of Cancer Biology and Microenvironment. We are interested in mechanisms of tumor initiation and resistance, with an emphasis on tissue long lived cells such as stromal cells, and their crosstalk with tumor cells,...
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Hyperspectral imaging methods to study cell states in tissues and tumors Institut Pasteur, Paris France The Imaging and Modeling Unit at Institut Pasteur is looking for a highly motivated postdoc
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proximity labeling is expected. Experience in confocal imaging and/or super-resolution microscopy would be a plus. The proposed research will be supervised by Dr Marie Prevost (https://research.pasteur.fr/en
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(https://doi.org/10.1101/2024.12.29.630686 ) reveal that senescence is important for mammary gland involution, a physiological wound healing process that is intimately linked to postpartum breast cancer
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to fundamental biological problems. The postdoc to be recruited to join the Machine Learning for Integrative genomics team at the Institut Pasteur as part of the ERC Starting Grant MULTIview-CELL, will be working
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Optimise and validate: Constrain free parameters using experimental data from muscle calcium imaging and behavioural recordings. Explore motor control: Apply computational approaches (probabilistic
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disease research, the Institut Pasteur offers unparalleled access to cutting-edge core facilities (cryo–EM/cryo–ET, high-containment labs, advanced imaging, bioinformatics platforms) and a vibrant
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host determinants of infection to inform the development of translational malaria prevention strategies. The postdoctoral fellow will contribute to loss-of-function and image-based high-throughput