21 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Institut Pasteur
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🚨 Fully funded Postdoctoral and PhD fellowships available! Please contact us to apply! The immune system is built in successive waves that differ in cellular origin and fate, including two major
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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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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
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
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in Statistics, Bioinformatics, Computer Science or other relevant disciplines with a strong quantitative background. Previous experience working with large scale data are welcome. Contact: Interested
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. Candidates must hold a PhD in genetics or virology. One first author publication is mandatory. The project will be carried out in the Mouse Genetics Laboratory, affiliated to the Genomes and Genetics and to
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, a computational approach with the generation of realistic models of the auditory system allows us to make theoretical predictions and verify our experimental results. The engineer will be responsible
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protocols to evaluate cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience
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cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience with flow cytometry and
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic