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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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-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
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-guided Linac and PET-guided linac, Varian Ethos with adaptive radiotherapy capabilities. Different imaging simulators are also available within the department including CT, PET/CT and MRI. Research is
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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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-processing and analysis of cardiac imaging studies. Close collaboration with technical researchers within the cardiovascular imaging unit. Where to apply Website https://jobs.vhir.org/jobs/7511897-clinical
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 3 hours ago
using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
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underlying the processing of natural visual stimuli, using in vivo large-scale two-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data
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practical experience in deep learning-based machine learning or natural language processing. Strong background in statistical modeling. Strong scientific writing skills. Expertise in medical imaging
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microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key