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25 Aug 2025 Job Information Organisation/Company Institute of Nuclear Physics Polish Academy of Sciences Department Department of Magnetic Resonance Imaging /NZ56/ Research Field Physics Researcher
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 4 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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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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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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Research Infrastructure? No Offer Description Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging
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Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging applied to sustainable materials. About
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optimize both single chemistries and mixtures. The hydrophilic-hydrophobic deviation theory relates thermodynamically to the partitioning of chemicals between phases and to the instability of emulsions and
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better