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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, this will include the refinement of clinical research data models, development of ingest and QA/QC pipelines, and support for geospatial data visualization. The work will be performed in several cloud and/or
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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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24 Jun 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Architecture » Design Engineering » Civil engineering Engineering » Thermal engineering
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. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management
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to better understand peptide-mediated mRNA decay (PMD). Key responsibilities include: Development of sequencing approaches to identify PMD substrates Bioinformatic data analysis and visualization
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against independent sources. Data summary and analysis. Developing visualization tools to present results. Develop proposals that will be submitted to external funding agencies. Development of Research
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data-processing tool for data analysis and visualization. Minimum Qualifications: Requires a minimum of a Ph.D. or equivalent terminal degree in Electrical Engineering, Biomedical Engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be
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, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through
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fisheries management and/or economic modeling can be meaningfully linked to applied conservation and real-world marine management contexts; ● Excellent quantitative and data analysis skills including