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highly motivated to impact patient outcomes through translational approaches to the treatment of T cell malignancies. Experience with in vivo mouse immunotherapy models, protein/antibody engineering and
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applications in python with PyTorch/Huggingface/SpaCy, applications of computer vision and signal processing in Tensorflow or PyTorch, Llama and GPT models. Essential Duties Develop and execute new and/or highly
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single-cell or spatially resolved genomics methods Testing therapeutic interventions in models of ovarian and cardiovascular aging Designing in vivo lineage-tracing and labeling strategies paired with high
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the Pytorch library and running deep learning models. The successful candidate will work closely with a team of researchers and faculty members in the ClinicalNLP lab led by Dr. Hua Xu. More information of the
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positions) in the areas of privacy-preserving health data sharing, AI modeling and evaluation of medical and biological applications. The Postdoctoral Associate will be responsible for co-developing and
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), genome/phenotype analysis (Dr. Jihoon Kim) and applications of large language models (Dr. Ohno-Machado). The Postdoctoral Associate will be responsible for co-developing and conducting research projects
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models, evaluation of individualized predictions or estimates for individuals with diverse backgrounds, and promotion of health equity using AI models. The Postdoctoral Associate will be responsible for co
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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
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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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for hearing loss in mouse models. Experiences on molecular & cellular biology, biochemistry, or AD research are preferred. Preferred qualifications also include but not limit mobility and ability to work