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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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, 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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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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, technology policy, or the societal implications of digital technologies. A strong publication record or evidence of potential for high-quality peer-reviewed publications relevant to digital ethics. Excellent
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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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biomedical engineering, computer science, electrical engineering, biomedical informatics, or related fields. Demonstrated experience in developing deep learning algorithms and training models on medical
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES
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in preclinical PET/CT or PET/MR imaging and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational
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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