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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 18 days ago
Deadline 1 May 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Not funded by a
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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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Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience. Software R&D activities, including software development and implementation, prototype
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that make a difference in the world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and
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. Connections working at University of California San Diego More Jobs from This Employer https://main.hercjobs.org/jobs/22075776/assistant-associate-or-full-professor-hs-clin-clin-x-in-res-adjunct-body-imaging
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10 trainees. Our fellowship programs include two ACGME programs, Abdominal Imaging (two trainees) and Neuroradiology (4 trainees). We also offer unaccredited fellowships, Breast Imaging
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engineering practices at scale. This role also oversees high‑impact research pilots and prototype efforts, ensuring they translate into practical, enterprise-ready capabilities for government sponsors
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. The MRI Technologist must adapt to changes in technology, new imaging techniques, safe and effective imaging practices for patients with and without medical implants. These implants include pacemakers
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Aid for external education, and Cornell Children's Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees are expected to meet all
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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and