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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based
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iPSC modelling Objective: Investigate molecular mechanisms underlying microglial vulnerability to cellular senescence in Multiple Sclerosis (MS), using human iPSC-derived models and advanced gene editing
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mathematical models and refine parameters for single-cell, genomics, and metabolomics data analyses. While primarily focused on computational work, they may elect to acquire hands-on experience with
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learn mathematical modeling and quantitative analysis Ability to program in at least one of the following languages: Python, MATLAB, R or C Evidence of outreach, mentoring or community building. Required
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approved. II. PUMC Young Scholars/ PUMC Overseas Young Scholars Support Program The programs implement the "3+X" training model, and regard postdoctoral researchers as an important talent pool