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a team of computational scientists with a focus on turning image data into biological knowledge. We utilize computational tools at the cross-section of biology and cutting-edge microscopy methods
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tools. In this project you will develop multi-modal AI methods spanning classical image processing, deep learning, and hybrid approaches for segmentation, registration, image synthesis, and treatment
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a team of computational scientists with a focus on turning image data into biological knowledge. We utilize computational tools at the cross-section of biology and cutting-edge microscopy methods
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Honours degree in Physics, Engineering, Computer Science or related discipline (or equivalent) Essential Application PhD in medical image processing/analysis (or equivalent) Essential Application Experience
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JOB DUTIES Description Serve as a reception, scheduling and Image Librarian Assistant. Incumbents are responsible for a full complement of Radiology front end processes including Reception, Image
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 8 days ago
criteria Significant experience with confocal microscopy, and (plant) molecular biology. Selection process Please check out all the cool research projects in high resolution plant imaging of the nucleus and
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Saint Aubin Routot, Haute Normandie | France | 3 days ago
image segmentation will require a customized AI approach for an automated post-processing of the microscopy observations. In Phase 3, the third objective is to generalize the model built in Phase 2 and to
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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position is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels