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. Experience working with rodent models is preferred but not required. The successful candidate should have excellent oral and written communication skill, be highly motivated for career development in
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, families), conduct school-based research, and maintain school relations Excellent statistics skills, including experience with longitudinal data analysis and multi-level modeling Excellent communication
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cell and molecular biology in human cell models, cancer biology, and genomics. Experience in genomic instability, DNA damage/repair, and mutagenesis is beneficial. Computational experience is highly
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from clinical research to molecular studies in mouse models of disease. Training/Mentoring: The postdoctoral associate will have the opportunity to gain experience with in clinical and basic research
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, cellular biology and signaling, and mouse models of disease, enhancing our understanding of how the allosteric site influences physiology and disease mechanisms. We plan to utilize drug discovery to identify
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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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a particular focus on cytokine-based drugs, using immune competent murine models and human cell culture systems for early drug development. We also study mechanisms and determinants of immune related