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Field
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, experimental methods, or computational modeling relevant to materials science research. • Experience working as part of an interdisciplinary research team. • For postdoctoral or research associate roles
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of Large Language Models (LLMs) for scientific use cases. This position focuses on advancing LLM capabilities to address complex challenges across a range of scientific domains. As part of a
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Posting Title Postdoctoral Researcher - Model Engineering . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills
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/splicing, as well as the development of enhancer activity lineage-tracing approaches in stem cell and/or mouse models. We are particularly interested in candidates with expertise in transcriptional
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fault mechanics, as well as earthquake hazards; (b) Volcanology: geochemistry, physical volcanology, igneous petrology, and volcanic systems modeling; (c) Climate science: glaciology, paleoclimate and
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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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modeling of x-ray spectroscopies sensitive to molecular chirality; simulations of x-ray–induced ultrafast electron-transfer, decay, and nuclear dynamics in gas- and liquid-phase systems; and the development
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modeling, in-clinic and remote psychophysiological data collection (e.g., heart rate variability and electrodermal activity), computerized cognitive assessment, implementation science, and ecological
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, 056. The Buckwalter lab has an opening for a postdoctoral fellow, PhD, MD, or MD/PhD. We study chronic outcomes after stroke using mouse models and human studies, with a particular focus on post-stroke
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
/Description: The Institute is recruiting for a Post-Doctoral Research Associate position who has a strong background in systems-based approaches to modeling risks that involve consideration of hazard (e.g