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Field
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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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healthcare solutions. Key Responsibilities: Develop and optimize flexible electronic devices, including sensors, actuators, and integrated circuits for health monitoring / wearable robotics applications
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encompassing data-driven electrolyte screening, molecular dynamics simulations, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte
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, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte formulations are expected to satisfy the strict requirements of high
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Cellular and Molecular Therapeutics Branch, NHLBI, NIH | Bethesda, Maryland | United States | about 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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optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open-source software and
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. Expected Responsibilities: Synthesize or commercially source relevant functional small molecules, monomers, and polymers. Perform and optimize mineral extractions from ores provided by industrial partner
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 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