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slide scanner imaging. Data analysis Applies complex statistical analysis tools to data acquired from electrophysiology and imaging. Interprets differences in data, and designs follow-up experiments
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be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the pathophysiology of epilepsy or seizure disorders using murine models and human
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cryogenic environments Participate in synchrotron-based characterization and data analysis Contribute to high-impact publications, internal reports, and scientific presentations at conferences and workshops
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thin film deposition is preferred. Advanced image processing and analysis skills. Experience with micromagnetic simulation is preferred. Ability to work independently as well as in collaboration with a
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The fellow will play a central role in designing and executing experimental studies examining: Intestinal epithelial tight junction regulation Gut barrier failure and systemic inflammation after burn/trauma
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the development and progression of chronic diseases; (b) strong statistical analysis skills, including but not limited to usage of bioinformatics tools or pipelines; and © experience working with human clinical
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will receive full consideration. Key Responsibilities AI-ready data and analysis for the ePIC Barrel Imaging Calorimeter and our Jefferson Lab program Support for the PRad-II and X17 experiments
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on the LLM/agent and HCI layers of IDEAS, including: Mixed-initiative AI assistants for visualization and analysis, Natural interaction paradigms for scientific workflows, Integration of agentic systems with
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, etc.) and quantitative data analysis. Excellent written and oral communication skills. Ability to work effectively in a collaborative, multi-institutional team environment. Ability to model Argonne’s
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python