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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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maintaining state-of-the-art imaging instrumentation and implementing new imaging technologies. Postdoc Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty
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multiphoton microscope system. Acquisition and processing of imaging data. Cooperation with biological partners. Documentation of results (reports, plots, preparation of materials for presentations/publications
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The Department of biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of developmental neuroscience as per 1 January 2027 or as soon as
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four main objectives: - Design and fabricate foam-bonded granular materials, by controlling formulation parameters, shaping processes, and binder solidification. - Characterize the microstructure
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. The candidate will be expected to carry out experiments that support the objectives of the research project, such as generating primary neuronal cultures, conducting high-resolution imaging, and performing
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Researcher (R2) Positions Postdoc Positions Application Deadline 4 Oct 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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Description Join the Next Generation of Cancer Imaging Research We are seeking highly motivated students to join an exciting multidisciplinary program focused on the development of novel molecular contrast
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advancing new molecular imaging and therapeutic agents from bench discovery toward preclinical and clinical application. The laboratory is focused on novel agent development, in vitro and in vivo development
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experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker, complemented by Python-based analysis