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experience with iPSC culture and/or neuronal differentiation protocols. Mass spectrometry-based proteomics and single-cell omics workflows. Data analysis of large single-cell omics datasets (R and/or Python
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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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. Identification and analysis of dissolution, passivation, and interfacial reaction mechanisms at material/electrolyte interfaces. Use of scientific programming tools for data analysis and visualization (Python
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experience with statistical software languages (R, Stata, or Python). Leadership and excellent communication skills, with strong adaptability and initiative skills. Excellent English proficiency. Specific
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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skills in Python and experience with HPC environments. Experience with galaxy redshift surveys and/or gamma-ray astrophysics is desirable. We welcome applicants from diverse backgrounds who are eager