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Field
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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develop and optimize scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data
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focused on HIV prevention. Key Responsibilities Data Analysis and Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL
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research projects with strong industry relevance, focusing on product development, process optimization, and project management. Key Responsibilities Lead and manage applied food processing related research
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Control and Prevention (CDC) is one of the major operation components of the Department of Health and Human Services. CDC protects America from health, safety and security threats, both foreign and in
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related areas; b) Experience in the processing of innovative materials for the integration of biomimetic microenvironments, namely scaffolds based on hydrogels or biocompatible polymers, functionalized with
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 15 hours ago
designing, implementing, and optimizing computational pathology workflows from image acquisition through analysis output with understanding pre-processing techniques Learn about cutting-edge vision and
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sources and quantum emitters on photonic platforms. Development of on-chip quantum light sources for quantum information applications. Fabrication and optimization of quantum photonic devices and circuits
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A Research Fellow position is open in a research lab at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with