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: Specialization in cryogenic technology, computer modeling, experimental skills, and characterization of materials in cryogenic temperatures Joining the CMU team opens the door to an array of exceptional benefits
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disease, and ALS. Our research utilizes a multidisciplinary approach incorporating mouse models, molecular/cellular biology techniques, and analysis of human postmortem brain and spinal cord tissue
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
writing and presentation skills Background in neuropathology and/or neuroinflammation (highly desirable) Familiarity with spatial biology techniques such as spatial transcriptomics and multiplex imaging
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. Reporting: Communicate findings to project partners with diverse backgrounds (e.g., space systems engineering, astrobiology, microfluidics) to support the development of a prototype LMCOOL instrument for
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23 Sep 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage
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prior surgery experience and optical imaging experience is preferred. However, any qualified individual with the tenacity and willingness to learn and take on a complex project would be favorably
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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Full time fixed term position until July 2026, located on the Darlington Campus at the Faculty of Engineering Opportunity to contribute to an industrial project on PFAS-free low-adhesion coatings
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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interpretable artificial intelligence to improve prediction accuracy while ensuring biological interpretability. The candidate will contribute to building computational frameworks that integrate diverse imaging