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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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Post-Doctoral Position - Oncology & molecular biology & radiology imaging - (220000J2) Exciting positions for postdoctoral fellows or research specialists in chemistry or in molecular biology
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The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser
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vivo two-photon imaging of neural activity dynamics, imaging of neuromodulator releases, optogenetics, computational modeling of complex animal behaviors and neural dynamics, and network simulations
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Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
-content spatial transcriptomics and proteomics technologies, aerobic/anaerobic cell culture technologies, single-cell RNAseq technologies, Qpath/Visiopharm/site-based image analyses, murine studies
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Description of workplace Diangostic Radiology, ITM, Lund University conducts research related to medical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is a cross-disciplinary
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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month postdoctoral contract to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging. The hosting group is led by Dr
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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