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integrated with genomic large language models to design optimized regulatory patterns for modern maize, which will be validated in collaboration with a nationwide team. Modeling indicates potential
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about the university can be found by visiting https://auburn.edu/ . Why employees choose Auburn: Auburn University was named by Forbes Magazine as one of the state of Alabama’s best employers, with
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the field of Organoids and Microphysiological Systems (MPS). More experienced candidates can be hired for the Product Development Scientist position Job Description Designing, developing, and optimizing novel
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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procedures under supervision; monitors daily schedules and coordinates flow to optimize patient experience Prepares for and attends shift handoffs and team huddles Collects patient vitals (e.g., height, weight
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compounds Conducting magnetic and transport measurements on synthesized samples Collaborating with team members to design and optimize experimental protocols Qualifications Master's Degree in Chemistry
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really does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose The McCombs School of Business Marketing Manager will develop and implement
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. These insights will then be integrated with genomic large language models to design optimized regulatory patterns for modern maize, which will be validated in collaboration with a nationwide team. Modeling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. Responsibilities include developing and optimizing high-throughput phenotyping workflows, performing targeted genetic manipulations, and integrating phenotypic data with genomic analyses to understand bacterial
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equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate and compare material intralogistics handling