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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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seeking candidates for a fully-funded T32 postdoctoral fellowship position focusing on regenerative lung biology and translational mRNA/miRNA engineering. The Raredon Lab is a mixed wet/dry lab that studies
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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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goal is to uncover how mRNA can serve as a building block for tissue engineering and regenerative therapies, with applications in stem cell development, wound healing, and cardiovascular disease
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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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experience in digital ethics, technology policy, or the societal implications of digital technologies. A strong publication record or evidence of potential for high-quality peer-reviewed publications relevant
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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