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support high-performance computing, data privacy, and compliance requirements (e.g., HIPAA, IRB) Collaborate with data scientists, IT teams, and clinical stakeholders to translate ML/AI models into
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education; and (3) relevant preparation, including coursework and skills in mathematics, statistics, computing, and/or mathematics education, as well as any specialized training, research experience, or
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growth and management of initiatives such as labs, experiential learning, or applied research that connect academic preparation with industry practice. Qualifications Ideal candidates will have at least
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in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and
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A in the Rodent Metabolic Phenotyping Core: 1. Execute in vivo studies in rodent models for core clients. Clients will include labs from within and outside the University of Pennsylvania. This