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The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | about 13 hours ago
23 Jan 2026 Job Information Organisation/Company The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence Research Field Physics Researcher Profile First Stage Researcher (R1) Positions
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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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achievements in the area of biomedical engineering, in particular: designing computer-aided diagnosis systems; analyzing images, signals, and multimodal data, particularly using artificial intelligence methods
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Biomedical engineering Physics or Applied mathematics You present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing programming skills (Python, C
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, and MR spectroscopic imaging using machine learning; candidates with experience in these areas are encouraged to apply. PREFERRED QUALIFICATIONS: APPLICATION PROCEDURE: Apply online at https
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JOB SUMMARY The University of Connecticut is seeking applications and nominations for the position of Assistant Director of NIL [Name, Image, & Likeness] Operations. This position will work with the
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and provide in-person support to patients and customers throughout the day. Contact external hospitals and facilities to obtain imaging for emergency department and inpatient cases as requested for both
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, magnetic particle imaging (MPI), and magnetic hyperthermia (MHT) will be utilized. A secondary aspect may be in the area of radiopharmaceutical therapy (RPT) for osteosarcoma. The candidate will be involved
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Previous Job Job Title Post-Doctoral Associate - Quantitative Imaging & Human Retroviruses Next Job Apply for Job Job ID 371962 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills