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Field
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necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers
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will be on the use of novel ellipsometry techniques to characterize pyrocarbon and graphite-based materials. Analysis will be used to support larger irradiation efforts and interpretation of new fuel
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in Scandinavia. Hyperspectral lidar data analysis and visualization. Administration related to the work duties listed above such as experiment risk assessment analysis and permits for work in protected
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
Brief Summary of Work for this Position The College of Science and Engineering at University of North Carolina Wilmington invites applications for a postdoctoral scholar to begin Fall 2025. A UNCW
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The University of Chicago Academic Jobs Research Assistant Professor in Analysis of Biomedical Data #FMD015 Department of Family Medicine, Biological Sciences Division Position Type: Other Academic
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functional analyses using advanced biophysical techniques Perform in-depth data analysis with state-of-the-art computational tools Take an active role in experimental design, execution, and data interpretation
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), applied mathematics, or similar. The successful candidate should possess: excellent interpersonal and collaboration skills, which are required to work with others, in a friendly and interdisciplinary
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical