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the Nanofabrication Laboratory (NFL) at ICFO. Key responsibilities: Develop and optimize dry etching processes for dielectric, semiconductor, and metallic materials. Operate and maintain ICP-RIE and RIE systems. Train
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optimize our privacy tools and platforms. Evaluate privacy safeguards to measure compliance with regulatory mandates. Partner with stakeholders to classify sensitive data, validate discovery results, report
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. They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and
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are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Computational
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. Debug and resolve issues across code, configuration, and integrations. System Optimization and Support Optimize existing code, workflows, and automation for performance and maintainability. Perform root
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non-GMP cell therapy and biologic batches, support scanning and archival of GMP and Non-GMP batches, optimize the eQMS batch release system and surrounding SOPs and paper forms, and monitor metrics
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Texas A&M Engineering Extension Service TEEX | Brownsville, Texas | United States | about 10 hours ago
effectiveness by creating an optimal work environment that empowers employees to improve themselves and their communities. Additionally, we offer competitive salaries and benefits, value work/life balance, and
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Texas A&M Engineering Extension Service TEEX | Brownsville, Texas | United States | about 10 hours ago
to the professionals who respond to emergencies, safeguard communities, and ultimately save lives. We are focused on enhancing organizational effectiveness by creating an optimal work environment that
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candidates whose research focuses on the quantitative design, analysis, and optimization of healthcare delivery systems using operations research methods, including their integration with complementary
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teaching interests complement and enhance our existing departmental strengths . In particular, we seek candidates whose research focuses on the quantitative design, analysis, and optimization of healthcare