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Field
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-free imaging technologies and their translation to biological research or industry. The successful applicant will play a leading role in developing and implementing classical concepts for imaging within
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/PhD in a mathematical branch of study Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences Ability to integrate
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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 15 days ago
vivo models of PD Apply and further develop methodologies such as disease modeling, virus-mediated gene delivery, behavior, immunohistochemistry, tissue clearing and 3D imaging, image analysis, spatial
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development of new light-based and label-free imaging technologies and their translation to biological research or industry. The successful applicant will play a leading role in developing and implementing
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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access to state-of-art Siemens, GE scanners, as well as a United Imaging PET/MRI system located nearby—providing an ideal setup for multi-vendor studies. The prospective postdocs will collaborate with a
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large