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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 21 hours ago
research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing scientific questions Collaborate
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applications in electrified transport. About us At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and
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with a globally recognised leader in hospital pharmacy and opioid stewardship, access to rich datasets and collaborations across major hospitals and research networks and supportive career development
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participatory action research, creative experimentation, futuring methods, creative policy dialogues, and systems thinking. Moreover, it includes iterative processes of problem analysis, identifying leverage
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design, field and laboratory-based research is required, including experience with algal culturing, microscopic techniques, photo-physiological measurements, as well as biogeochemical analysis
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tasks and objective and/or subjective metrics - Evaluation on a group of users and analysis of the results - Writing a journal or conference paper The Gipsa-lab is a joint research laboratory of the CNRS
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. Experience with infectious disease data analysis, mathematical modelling, statistical modelling, simulation modelling, or related quantitative methods. Strong programming skills in R, Python, or a comparable
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with a background of HIE during the newborn period also had a neonatal MRI performed. Quantitative analysis of the school age MRIs will be performed, and MR features associated with school-age
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting, and anomaly detection