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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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laboratory and collaborative meetings. Collaborate actively with scientists performing wet bench experiments (PhD, postdocs). Interact productively with other bioinformatic engineers or researchers on Institut
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. Responsibilities will include: Developing expertise in audiological test batteries Data wrangling, cleaning, and feature engineering Applying and implementing statistical or machine learning methods, depending
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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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ear gene therapy. The characterization of gene regulatory elements and gene regulatory networks is essential for this purpose. The candidate will use computational methods to develop and integrate novel
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molecular signatures and potential therapeutic targets We are looking for a highly motivated and enthusiastic candidate with interest in neurovirology. Ideal applicants hold: A PhD in cell and molecular
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of preclinical murine model of melanoma responsive or not to ICI. Specific objectives and methods The specific objectives of the M2 are: 1°) To identify which DC population undergo dynamic changes during ICI
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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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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
a Lymphoid Organ-Chip to evaluate mRNA vaccine boosting. Journal of Experimental Medicine 221(10):e20240289. Qualifications: We are looking for a skilled and highly motivated candidate with: a PhD in