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careers within cardiovascular research. It fosters the development of PhD and physician investigators who require rigorous formal training to translate basic and clinical research to the clinical practice
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, and statisticians—on projects that bridge methods, policy, and practice. This role will involve intensive analysis of claims data and related large administrative datasets to support policy-relevant
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on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability
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funding. Required Qualifications Education: PhD in public health, sociology, mental health, psychology or related field. This position requires a formal degree in the cited discipline area(s) to ensure
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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data
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and training. Professional Development: Develop and maintain a formal Individual Development Plan (IDP). Actively pursue independent research interests and apply for internal/external fellowship funding
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will
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prepares individuals for productive and fulfilling careers within cardiovascular research. It fosters the development of PhD and physician investigators who require rigorous formal training to translate
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities