4,281 power-systems-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions
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, fungi, and other microorganisms in forest and agricultural systems. Our key research areas include forest and agricultural plant pathology, plant-soil-microorganism interactions, microbial and
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Job Description If you are establishing your scientific career in robotics, control, and AI and want to contribute to the next generation of intelligent robotic systems, this position offers a unique
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, evaluate, and optimize multilayer optics and grazing-incidence mirror systems for high-energy laboratory X-ray sources Integrate optics, source, detectors, sample environments, and motion systems into a
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integration, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We
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development ( https://rupress.org/jcb/article/220/11/e202103080/212704/ ) or regeneration ( https://www.science.org/doi/10.1126/sciadv.adi7840 ). To address these questions, we use mouse and cell
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Postdoctoral position: intercropping and varietal diversity in organic cropping systems Alnarp Reference number SLU.ua.2026.2.5.1-2621 Department of Biosystems and Technology Have you performed
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facilitate the above research of gene regulation. The homepage of Li Lab can be found at https://www.stjude.org/people/l/chunliang-li.html . Recent selected publications from Li Lab can be found below (2023
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Energy-Water Systems (I- CREWS ), which seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience under meteorological
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Associate in Weed Science and Forage Systems. The successful candidate will contribute to an interdisciplinary research and extension project evaluating the impact of weed composition and biomass on alfalfa
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 1 hour ago
Continual Language Learning , ( ICLR ’20), Yuanpeng Li, Liang Zhao, Ken Church, Mohamed Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks