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Field
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of what microscopes can achieve. You will create and apply sophisticated algorithms, physics-based simulations, and machine learning models to process complex data from our cutting-edge imaging systems
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various themes, BC Cancer supports ground breaking cancer research and personalized care approaches through world-class facilities and platforms including genomics, bioinformatics, imaging, drug development
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Support”, through analysis of MR Diffusion Weighted Imaging and MR Spectroscopy and leading other members of the wider team Specific aims of the project To prospectively evaluate non-invasive pre-surgical
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opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role will be to use and develop opto-acoustic
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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. For being part of the Soft Matter Group, in the Laboratory of Neutron Scattering and Imaging LNS at SINQ, we are looking
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that reproduces, in a web environment, the visualisation and annotation interfaces defined in the project; • Ingestion, cleaning and storage pipelines (image, depth, metadata) with continuous integration testing
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English communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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Editing of 2D and panoramic images and 3D processing Ensure the processing of photographed objects, in accordance with the defined technical specifications 4. Applicable Legislation and Regulations: Law No