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of disease, the optimization of health, and the ways in which behaviors can influence disease prevalence and progression. The Center for Health Equity Outcomes Research (CHEOR) Center promotes community
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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-resistance phenotypes. You will gain experience applying AI, genomics, and bioinformatics, from foundational AI/ML concepts to hands-on application and optimization of DNA and protein language models
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of microbial genetics and physiology to optimize fermentation strategies through novel strain development and modification of bioprocessing parameters. Learning Objectives: You will gain experience in
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 23 hours ago
applied to whole slide images, including understanding performance metrics and validation framework Gain Proficiency in imaging AI pipeline development and optimization Acquire hands-on experience in
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focused on HIV prevention. Key Responsibilities Data Analysis and Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL
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data collected longitudinally across the post-infection study time course to optimize machine learning methods that predict disease outcomes and identify host factors and interactions that most heavily
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in nano-Darcy shale rocks and propped fractures, with analytical and numerical modeling to interpret multiphase transport and evaluate optimal drawdown strategies for improved production. In
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Cellular and Molecular Therapeutics Branch, NHLBI, NIH | Bethesda, Maryland | United States | 2 months ago
for Hemoglobinopathies and Hematopoietic Stem Cell Gene Therapy This position focuses on the development and optimization of CRISPR-Cas9, base editing, prime editing, and other genome engineering technologies in human
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning Demonstrated experience in developing, analyzing, and implementing