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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 6 hours ago
. Knowledge in the field of measurement technology and PC-supported data acquisition. Experience in electronics development for space projects is ideal. Knowledge in the field of signal processing and filtering
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Electrical Engineer or Physicist interested in scientific imaging technologies to join an enthusiastic and creative electronics team within the multidisciplinary Optical/Infrared (OIR) Instrumentation group
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PhD candidates and researchers who work on enabling technologies (e.g., AI-based information conversion technology such as automated image/audio description). You will investigate the needs and wishes
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imaging applications by ensuring the Centre’s high-end commercial systems and bespoke in-house development platforms remain at the forefront of current technology. This includes providing expert advice
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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team
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. Assist radiologist with interventional Nuclear Medicine procedures. Evaluate Nuclear Medicine scans for technical quality, collate processed images in sequence of exposure and appropriately label. Film
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Apply Now Mission Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology
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Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a related field. * 5 years
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processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image
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kind of experience: Progressively responsible leadership experience in aligning UNMC technology policies with research systems to include supervisory experience in research computer systems and training