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integration to advance pressure injury care through multiple ongoing projects. JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated
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, or multi-modal learning that integrates structured EHR and biomarker data. The fellow will have access to curated oncology datasets, high-performance computing infrastructure, and mentorship from a cross
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therapy resistance and identifying potential therapeutic targets to overcome resistance. The lab will integrate a variety of research approaches, including clinical genomics, CRISPR-based functional
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in real-world public health applications, including pandemic preparedness, outbreak forecasting, and integrating diverse data sources to inform decision-making. JOB DESCRIPTION: Helps design and
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clinical, regulatory, and policy contexts. Candidates will also have the opportunity to engage in additional research projects related to evidence synthesis, meta-research, and clinical research integrity