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, the deadliest malaria parasite species. Within UniGEM, the postdoc will be responsible for the simulation of synthetic data used to train, develop, and test the neural network. Scientific context: Malaria
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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, and contact information for two references to Helene Strick-Marchand ([email protected] ). Environment The Institut Pasteur in Paris is recognized worldwide as a leader in the field
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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wet bench experiments in pre-clinical models of cancer involving animal experimentation. Analyze experimental data and keep organized data archives in compliance with local policies. Participate
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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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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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, with a focus on solid tumors such as breast and skin cancer. For more information and to apply, send a motivation letter, CV and contact information for 2 references to Lucie Peduto (lucie.peduto
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candidates can submit their application with a detailed CV, a cover letter detailing skills and motivation, and contact information for 2/3 references to Lisa Chakrabarti : chakra (at) pasteur (dot) fr Web