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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 17 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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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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lead instructor with facilitation as needed. Support lead instructor in program preparation as needed. Enforce BNL safety regulations and program expectations. Assist in program development as needed
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Manometry system. Chest Wall Malformation program including Pediatric Pulmonary and Physical therapists with black bone imaging capabilities, use of cryoablation and the new pectus Blu system. Multi
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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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. 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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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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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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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