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Field
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Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties
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of elemental analysis and imaging techniques for studying metal distribution in plants, including portable XRF, micro-XRF, SEM-EDS or PIXE. Demonstrated ability to supervise and mentor undergraduate and Master’s
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A Postdoctoral Research Associate position in advanced MRI acquisition, analysis, and modeling is available in the Department of Radiology at the University of Virginia School of Medicine, under
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imagery, DEMs and morphological data sets to make geologic interpretations. ● Experience with Python, ENVI and ArcGIS software. ● Experience in petrographic analysis and elemental mapping. ● Has
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• Establishment of optogenetic systems: development and validation of an Opto-TBRA system for its controlled activation. 4. Analysis of collective behaviors • Real-time imaging: Use of confocal and multiphoton
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and confocal microscopy, high-content imaging, quantitative image analysis, SDS-PAGE and Western blot Testing of candidate compounds Contribution to single-nucleus RNA sequencing and transmission
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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve
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cryo-EM Desirable skills: Experience in cryo-EM image analysis Experience with complex bacterial systems (pili, flagella, secretion systems) Personal qualities: High level of autonomy Strong experimental
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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, fluorescence microscopy and image analysis. You should be able to address mechanistic biological questions using rigorous experimental approaches. Good communication skills and a strong publication record are