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Field
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project from the Dutch Polymer Institute (DPI). The main objective is to develop and validate a real-time, AI-enabled multi-sensor fusion platform for diagnostics and prognostics of polymeric bearing cages
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demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging-derived Biomarkers to Predict Health Outcomes: Neurological problems, such as stroke
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, while time-resolved photoelectron spectroscopy will track the autodetachment to internal conversion and dissociative electron attachment products in real-time. Key responsibilities: To understand and
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settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project
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links) and Space Domain Awareness (tracking satellites, debris, and near-Earth objects). Expanding AO to these domains introduces challenges: extreme performance for faint or high-contrast targets
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problem-solving. The project has two main objectives: To design evidence-based interventions for each phase of the collaborative creative problem-solving process, grounded in the creative problem-solving
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Research Council Starting Grant and led by Dr George Iordachescu. The main objective of this research project is to radically transform understandings of how strict protection of nature remakes human
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George Iordachescu. The main objective of this research project is to radically transform understandings of how strict protection of nature remakes human-environment relations in Europe’s marginal areas by
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the European Research Council Starting Grant and led by Dr George Iordachescu. The main objective of this research project is to radically transform understandings of how strict protection of nature remakes
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/Seurat, count models, batch correction, differential analyses). Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and experimental-design principles. Bioinformatics