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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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take place in the Quantitative Radiomolecular Imaging & Therapy lab (Qurit.ca) with the guidance and support of Drs. Arman Rahmim, Carlos Uribe, and other members of the lab. The fellow will collaborate with
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, imaging approaches and/or bioinformatics. Postdoctoral Fellow – Banerjee Lab – 00399 Our lab is interested in how the brain accomplishes the ongoing transformation from sensation to action during natural
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thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and
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. This postdoctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological
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USN 15th August 2025 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Fellow in AI for hematological image
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characterisations and advanced characterisations such as X-ray, electron, and neutron scattering and imaging experiments. You will undertake independent and collaborative research and will be expected to write up
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advanced imaging (AFM, TEM), fluorescence spectroscopy, and biostructural tools; and collaborate with a diverse team of students and researchers across chemistry, biology, and materials science
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a full-time Postdoctoral Research Fellow to collaborate with various researchers, clinicians and imaging experts from UBC, the BC Cancer Research Institute, and our international institutional and