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learning on large-scale HPC systems Scalable and energy-efficient AI training algorithms Image reconstruction, segmentation, and spatiotemporal modeling High-performance computing for large-scale AI and
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scientific community within the Division of Chemistry and Biochemistry . Here, you will work closely with experienced researchers and have access to advanced instrumentation for mass spectrometry and imaging
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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: C++, Python, Matlab, R. ● Building analytical pipelines that include image processing, image registration, auto-segmentation, feature extraction, pathomics, and radiomic analysis ● Proficiency
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: C++, Python, Matlab, R. ● Building analytical pipelines that include image processing, image registration, auto-segmentation, feature extraction, pathomics, and radiomic analysis ● Proficiency
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). ________________________________________ Your Responsibilities • Develop and implement Hyperspectral Imaging (HSI) methodologies for in-situ investigation of cultural heritage objects and architectural surfaces, covering VNIR and SWIR spectral
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Job Description Apply now Job Title: Postdoctoral Associate Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $70,000 FLSA Status: Exempt Work
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 27 days ago
of methods that allow for detection and segmentation of Multiple Sclerosis lesions from spinal cord MRI images acquired with current clinical protocols. It must be emphasized that MS lesion segmentation in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from wearable sensors (e.g., accelerometry, electromyography) and ultrasound imaging
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fairness and skin-tone–aware pipelines (Fitzpatrick spectrum robustness, augmentation, bias audits). Partner with annotation teams using Encord (video) and our Segment Care image labels; shape active