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of Medicine, is seeking a highly motivated and talented postdoctoral researcher to join the team for a pioneering project at the intersection of computational immunology and AI-driven protein engineering. The
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, communications, and updates. Required Education and Experience PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years
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that includes a cover letter, CV, and contact information for three professional references. In your cover letter, please address: Your interest and experience in generating and/or using applied science
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models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply
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engineering is considered a plus. The lab has routine access to Krios and FIB-milling instruments. 2) Genome editing: Projects involve developing novel genome editing tools and optimizing in vivo delivery
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, protein engineering, systems immunology, and tumor microenvironment profiling by scRNAseq / flow cytometry are preferred. The ideal candidate will be self-motivated and driven to develop new treatments
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serve as a building block for tissue engineering and regenerative therapies, with applications in stem cell development, wound healing, and cardiovascular disease treatment. Key Responsibilities Design
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methods for measuring genome-wide methylation signatures in blood to identify early-stage cancers or early recurrences after therapy. In addition, this platform technology is generating rich whole
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Research Skills: Proficiency in quantitative research methods and statistical software (e.g., SPSS, Stata, R). Publications: A demonstrated track record of academic publications and research outputs