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integration. Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. Facilitate strategic
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, innovation, and translational potential. The successful candidate will work on integrative projects involving in vivo mouse models, tumor immunobiology, and multi-omic profiling, with particular attention
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analyses and mechanistic studies using molecular, biochemical, and imaging techniques. Maintain accurate experimental records and ensure data integrity across all research activities. Collaborate with
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the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration
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cell RNA sequencing, chromatin conformation assays, and the integration of these approaches. The studies involved will have a focus on cancer and neurodegeneration genomics. The postdoctoral associate
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methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
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service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making
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mission of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive
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other researchers within the group to integrate AI-driven methods into current research frameworks, contributing to publications and conference presentations. Data Management: Handle large datasets
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community-based participatory research projects, integrated with coursework and training in key behavioral science topics such as socio-structural, bio-behavioral and epidemiological foundations of HIV/mental