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Field
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analytical or computational models and simulations. An ability to conduct research and produce scholarly outputs as demonstrated through publications in peer-reviewed journals. Familiarity is expected with
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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 11 hours ago
be given the opportunity to copy over what they had previously submitted. All documents must be in English or include an official English translation. If you have questions before, during, or after you
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system-level experimental validation of fabricated prototypes. A strong drive for innovation is essential, as the work will push the boundaries of current photonic technologies and computing models
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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shortages and complex referral pathways. This role will develop a reliable, scalable, and agent based simulation model that will support caseworkers in developing their care plans for survivors. By analysing
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or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi-disciplinary research environment. Demonstrated written and oral
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. The project focuses on the intersection of deep reinforcement learning, probabilistic modeling, and bio-inspired architectures (such as Spiking Neural Networks) to achieve sample- and energy-efficient robust
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candidate will : • Adapt the AEROTYPro/GRASP methodology for the typing and quantification of stratospheric sulfate aerosols; • Develop optical models for the characterization of sulfate particles produced
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. Current projects integrate molecular biology, RNA engineering, mRNA technologies, and lipid nanoparticle (LNP)-based delivery systems with translational studies using cellular and animal models