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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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decision-making across diverse applications in computer vision and data analysis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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accessible through optical imaging. In this context, the team is developing a groundbreaking cellular-resolution imaging technology, the AO-RSO (Adaptive Optics Rolling-Slit Ophthalmoscope). This system
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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Computer Applications: Microsoft Office Required Additional Knowledge, Skills and Abilities: Highly proficient in medical imaging toolboxes/software including FreeSurfer, FSL, AFNI, SPM, ANTs, ITK, c3d
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of courses in image processing, computer vision, XR technologies and biomedical imaging applications, experience as supervisor of engineering and master’s theses, confirmed by at least 20 successfully defended
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in
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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