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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 16 hours ago
in April/May 2026. For more information about AMBER, application and evaluation process etc please visit: ambercofund.eu . Where to apply Website https://forms.gle/iyz9Qv2i9PEjBYf68 Requirements
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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Website https://www.academictransfer.com/en/jobs/357264/postdoc-position-in-microbubble… Requirements Specific Requirements A PhD degree in Applied Physics, Electrical Engineering, Biomedical Engineering
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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microfluidic systems or single-cell analysis; strong background in image analysis; demonstrated
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize