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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid dental students, residents and/or faculty in four-handed dentistry and in routine chair
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, if applicable. Enrolment in Master's degree in Informatics or Informatics Engineering. Work plan: The objective is to develop a prototype system for the registration of medical images, namely ultrasound and MRI
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the Department of Radiology will provide dedicated emergency radiology services at the University of Kansas Medical Center. This role includes delivering evidence-based, patient-centered diagnostic imaging
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big-picture questions. Preferred Qualifications: Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar). Familiarity with natural language processing (NLP
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the maintenance and daily operation of assigned microscopes, providing hands‑on training to new and experienced users, and offering imaging support to a diverse research community. The Microscopy Specialist will
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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Field Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 2 Feb 2026 - 00:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Part
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(surgery, medicine, equine sports medicine and rehabilitation). There is also extensive specialist support in related disciplines including anaesthesia, dermatology, ophthalmology, diagnostic imaging
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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical