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Field
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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the relationship between acoustics backscatter, optical backscatter, and optical imaging, with a focus on data collected with in-situ AUV systems and airborne, water-penetrating LiDAR systems. Specifically
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. Candidates should have an exceptional scientific research record encompassing grant writing, data visualization, and IRB regulatory statutes. Candidates will join as faculty positions that are commensurate
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), spectroscopy (e.g., stellar properties; radial velocities), and astrometry (primarily Gaia DR4), using data from ground- and space-based facilities. We especially value candidates with strong technical skills
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. The candidate will assist with data curation, development of data visualization and analysis tools, and maintaining interdisciplinary relationships between UF researchers and UAA staff. Candidates will be
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 minutes ago
thaliana. Techniques planned: * Imaging cytometry for quantitative analysis of subcellular metabolite localization. * High-throughput CRISPR screening. * Transcriptome data generation and analysis. * Cloning
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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8 Sep 2025 Job Information Organisation/Company University of Oslo Research Field Arts » Visual arts History Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Norway
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-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences