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Field
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high-impact journals Contribute to data visualization platforms Required Qualifications Ph.D. in Atmospheric Science, Environmental Science, Remote Sensing, or related field Experience in atmospheric
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the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g
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NIMH-funded longitudinal functional MRI (fMRI) study of threat perception in children. Other current lab projects include analysis of extant fMRI datasets related to visual perception, as well as fMRI
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block-based or visual programming environments (e.g., Scratch, Snap!, MIT App Inventor) Background in participatory design, co-design, or youth-centered methodologies Prior work with underrepresented
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focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including collaborations with industrial
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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analysis of large-scale 2D/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
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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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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics
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Are you passionate about pushing the frontier of catalysis science? The Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark (DTU) is offering mutiple Postdoc