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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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of administrative processes to support the University’s mission of delivering world-class education and fostering academic excellence. Key Responsibilities The ideal candidate will bring a proven track record of
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hands-on role ideal for someone who enjoys problem-solving, data integrity, and process optimization in a collaborative, higher education environment. Create a Job Match for Similar Jobs About The
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
with both business and operational stakeholders, optimizing performance, driving innovation, and establishing data governance and standardization to align with business objectives. Architecture: Design
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process Full announcement also available at FEUP - FEUP| 1 Estagiário de Investigação |Projeto ELECTROMET - Proposta 1417 Applications must be formalized at http://www.fe.up.pt/concursos , reference on-line
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through tissue collections. This position is in the Department of Urology's Genitourinary Cancer Research Laboratory, within the biospecimen acquisition and processing group. This position involves
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of electronic devices has a long and successful history of accompanying experimental developments, be it for transistors or memory cells. Nowadays, to be of practical relevance, such technology computer aided
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cooling Optimized Cabinet Operation”, COMPETE2030-FEDER-01179300, of CICECO – Aveiro Institute of Materials, under the following conditions: 1. Scientific Area:Chemical Engineering, Chemistry, or related
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project focused on the development of advanced semiconductor device processing technologies. Key Responsibilities: Development and optimization of semiconductor device fabrication processes and thin-film
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biologic therapy, integrating data from clinical trials and real-world studies. The model will be used to simulate and evaluate optimized dosing strategies for special populations, including hard-to-treat