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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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molecular biology and genetics techniques. Strong quantitative/analytical skills and proficiency in programming in MATLAB, Python, or R. Track record of first-author original research papers. Strong oral and
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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Essential criteria are: Doctoral degree in computed tomography, image analysis, or similar Demonstrated experience in programming (e.g., Python, MATLAB) Theoretical knowledge and practical experience in
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demonstrate methodological, organized, pragmatic, and effective approaches to your work in collaboration with partners Advanced knowledge of Python, previous experience with AI and git is an asset Previous
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). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author original research papers. Strong oral and written communication skills. To apply, please send a cover
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, systems biology, biomedical data science, cancer biology, or a related field Strong experience in omics data analysis, ideally including single-cell or spatial transcriptomics Proficiency in R and/or Python
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Familiarity with omics approaches such as scRNA-seq, proteomics Programming or data analysis skills such as R, Python, or similar Experience in international collaborative projects Experience with laboratory
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a