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/deep learning and image processing/tomography advanced programming skills in Python excellent command of English (written and spoken) Assets: team-oriented mindset with strong communication and
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methodologies including in vivo calcium imaging, optogenetics, electrophysiology, and molecular approaches. The work will be conducted in an international and collaborative research environment, offering
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imaging features to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research
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interdisciplinary team with clinicians and engineers; You have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and
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the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com ). Your project combines concepts from optical design, holographic imaging, computational
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to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research Centre of Excellence. This is a
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humanities. We combine terahertz, ultrasound, infrared thermography, hyperspectral/multispectral, and X-ray imaging with multimodal data fusion, interactive visualisation, and digital twins. Results
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of multi-layered and 3D artworks using techniques such as terahertz imaging, thermography and ultrasonics; and (ii) integrate and visualise multimodal NDE data using data fusion, digital twins and augmented
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advanced testing procedure and performs analyses of data. Makes uses of a variety of specialized equipment typical within area of specialization. May contribute to grant proposal development. 1. Ensures
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and tumor tissue) to determine their immune cell infiltration profiles 3D imaging analyses using fluorescence microscopy techniques (e.g., confocal laser scanning microscopy, light-sheet fluorescence