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Field
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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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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 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
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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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intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency of radiation therapy. In this role, you will contribute to the design and implementation
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from the Principal Investigator alongside guidance from senior research personnel. Key Responsibilities Experimental Design: Develop and optimize behavioral and physiological paradigms targeting brain
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produce Collaborative scientific research and interdisciplinary teamwork Development and optimization of analytical workflows and laboratory methods Communication of scientific findings to research and
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develop and optimize scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data
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to achieve ultrafast and nondestructive readout of gate-defined spin qubits. Conduct high-frequency opto-transport experiments at cryogenic temperatures. Design, build, and optimize experimental setups
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control and optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open