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investigating the causes and consequences of mutational processes in human health and disease. We are an interdisciplinary team of computational, experimental, and clinician scientists allowing us to generate and
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and experience in natural language processing, machine learning, and deep learning. • Strong written and oral communication skills in English. • Ability to work independently and as part of a team
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references; and o A one-page statement about your aims for postdoctoral training through the Yale CPC T32 training program. Questions: For questions about the application process, please contact Xiaomei Ma
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protocols. Clinical data collection and registry management, ensuring high data accuracy. Biospecimen processing and shipping across VA research sites. IRB and regulatory compliance procedures, including
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skills (e.g. ranging from human subject consent, medical record abstraction, and processing human specimens), as well as cell biology techniques (e.g. DNA/RNA and protein extraction and quantification
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that activate kinases by removing phosphate groups, playing crucial roles in both physiological processes and various diseases. Developing drugs that target MKPs is challenging due to the nearly identical
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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mechanisms in RNA-guided processes, and to develop novel genome editing applications based on the mechanistic understanding. Research details can be found in our laboratory and departmental web sites