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engineered to be adaptable and generalizable, supporting applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data. This position is ideal for candidates passionate about applying AI
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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, operational, and at times hands-on technical support to assist with multimodality imaging projects (e.g., PET, SPECT, MRI, ultrasound, optical fluorescence, SWIR, DXA, X-ray) from study design through data
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microscopic analyses of histological section series and image analysis post-image acquisition. If the opportunity arises, he/she will use their experience in microscopy to help resolve conceptual problems in
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medical data to the lab and manage data-related tasks, including enforcing storage policies, monitoring, and backups. • Medical Imaging Processing & Analysis: o Perform advanced temporal preprocessing
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and testing angiogenic peptides. The role involves both in vitro (cell culture, imaging, molecular biology) and in vivo methodologies. Reporting to the principal investigator, the associate will also
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: The Magnetic Resonance Imaging (MRI) Technology Developer will play a pivotal role in shaping and supporting the MRI research platform and program at the McConnell Brain Imaging Centre (BIC). This includes
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transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful candidate will report to the Principal