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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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, and resource optimization studies to address real-world sustainability challenges. Explore emerging technologies, frameworks, and practices to advance sustainable solutions in industries. Industry
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Conducting technical debugging, system performance optimization, and basic functional code verification. Documenting the code repository, technical architecture, and system workflow in a final report. V
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Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and complexity tools for optimization problems involving geometric and algebraic objects such as points
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 months ago
Team in developing and validating optimized workflows and analytical methods to improve efficiency, consistency, and scalability of RWE submission monitoring and public reporting. Contribute to creation
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complexity tools for optimization problems involving geometric and algebraic objects such as points, vectors, linear spaces, and matrices. Qualifications and personal qualities Applicants must hold a master's
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | about 19 hours ago
through optimized antigen immunogenicity and enhanced vaccine production processes, while analyzing their protective effects against viral infections in animal models. Learning Objectives: You will have
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of Engineering. Key responsibilities include the design and implementation of novel AI-driven goal-oriented semantic communication strategies, signal processing algorithms, performance optimization methods, and
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these systems in both classical and quantum regimes, we aim to develop new methods for solving complex optimization problems and advancing machine learning architectures. The research involves investigating how
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approaches. Develop, optimize, and maintain code and algorithms supporting predictive models. Combine computational algorithms with laboratory automation to enable self-driving laboratories and automate