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-index tomography experimental setup, including optical alignment, calibration, and performance evaluation. Conduct quantitative performance analysis of the system, including spatial resolution, phase
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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to the application deadline Experience with terrestrial mapping applications, in particular of forests Experience with large geo-spatial & satellite datasets Experience from working with polarimetric, interferometric
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existing stable isotope facility. The Department of Earth Sciences at the University of Delaware houses a state-of-the-art stable isotope laboratory (https://sites.udel.edu/eis-lab/ ) equipped with advanced
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to improving the reliability and performance of spatial turbo-pumps. To investigate the fundamental mechanisms of these instabilities, a simplified ABS test bench was set up at IRPHE [1]. In this setup
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areas*; 2. Technical Skills - Experience in processing 3D point clouds (LiDAR or photogrammetry); Knowledge of GIS, remote sensing, or spatial analysis; 3. Research Experience (Preferred) — Previous
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TLDR: Build the data backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
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. In addition to furthering systematic thinking by separating problem formulation from solution concepts, integrating models from different disciplines, operating at different time/spatial scales
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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in handling spatial data. Strong analytical abilities and excellent written communication skills. Ability to independently plan and execute research projects. Strong collaborative spirit and