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Field
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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
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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, ASV, ROV, docking station) 2. Select and integrate embedded computing optimized for real-time vision/AI 3. Develop multi-platform energy management, depending on consumption profiles and defining
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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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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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 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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optimize multi-component injectants, including CO2-co-solvent blends, surfactant co-injections, and foam systems for mobility and conformance control. Collaboration & Documentation: Document experimental
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and model export strategies Be a hands-on technologist in the R&D projects linked to control, optimization algorithms/tools to plan the deployment of DERs such as energy storage systems (ESS
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 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