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Field
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
social motivation, suicide and psychopathology risk, and childhood adversity using various methodologies in ages spanning 8-22. Applicants will primarily be involved in MRI data collection, analysis, and
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or lead mixed-methods analysis combining survey data with qualitative findings where applicable. Reporting & Dissemination Develop data visualizations, technical reports, donor updates, and academic
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, staining, and mounting tissue specimens. Visualization and analysis of IHC imaging data Multiunit electrophysiological experiments, particularly using Neuropixels Software Expertise and Data Analysis: pCLAMP
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, protein-DNA interactions with role(s) of epigenetics and Bioinformatics, Cell culture and transcriptional regulation, Imaging and large-scale data analysis/Bioinformatics, and Epithelial biology. Required
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Responsibilities Responsibilities include: Leading a project in coral stem cell isolation, characterization, preservation, and propagation Develop and implement data analysis and visualization strategies, perform
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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: Excellent verbal and written communication skills. Proficiency in data collection, interpretation, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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denoising techniques, analysis of visual and cognitive experiments, and/or related computational modeling work. For additional information on the position email kay@umn.edu. Duties and Responsibilities