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. Qualifications Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields. They should have
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researcher with strong skills in artificial intelligence, machine learning, deep learning, and computer vision, with the ability to apply these methods to ultrasound image/video analysis and biomedical data
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MSCA Doctoral Network position “Electric solar wind sail mission design” We are now looking for two (2) Doctoral Researchers. This PhD topic is part of the “Electric solar wind sail doctors” (E
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Technology Division. This position reports to the ISED Associate Laboratory Director. The Division Director will lead and manage the science, engineering, technology development, prototype manufacturing
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and Computer Engineering. Additional information about the facility is available through the USC Core Center of Excellence in Nano Imaging (opens in new window) . CORE DUTIES & RESPONSIBILITIES Provide
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-organism, and/or super-resolution imaging challenges. Candidates with an excellent record of research achievement and experience in air and/or light sensitive chemical synthesis methods, photochemistry
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 8 days ago
Group Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 7 Oct 2026 - 00:00 (Europe/Warsaw) Country Poland Type
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 21 days ago
surface characterization techniques. The development of automated pipelines for image-based model construction, registration across measurement modalities, and propagation of data processing uncertainties