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) for hypothesis development, experimental design, and execution. Participate in data processing, analysis, discussion, reporting, presenting findings at conferences, and manuscript drafting. Work effectively within
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The Intramural Research Program (IRP), National Institute on Drug Abuse (NIDA), a research component of the National Institutes of Health (NIH), Department of Health and Human Services (DHHS) has
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Postdoc Position Available at National Institutes of Health The Intramural Program of the National Institute of Mental Health (NIMH) is a major research component of the National Institutes
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, messy, heterogeneous healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * Prior experience with AI in healthcare settings. * Prior
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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eligible for basic clinical medical physics training and a tuition fee waiver to enroll in a certificate program with CAMPEP-accredited courses, which covers medical physics didactic elements for people who
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acquire additional skills and be involved in the analysis of single-cell RNA Sequencing, WES, and in situ transcriptomics data. Trainees will present their findings at regular lab meetings, departmental
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learning, or a related field Strong background in deep learning and statistical analysis Proficiency in Python, R, and deep learning frameworks (e.g. PyTorch, TensorFlow) Strong written and verbal
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, biostatisticians, pathologists, data scientists, molecular biologists, and clinical researchers, all of whom contribute their unique expertise to our lab’s work. We employ a broad variety of analysis approaches and
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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS