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Academic Job Category Faculty Non Bargaining Job Profile Research Associate Job Title Research Associate Department Nasiopoulos | Department of Electrical and Computer Engineering | Faculty
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Academic Job Category Faculty Non Bargaining Job Title Research Associate Department Nasiopoulos | Department of Electrical and Computer Engineering | Faculty of Applied Science (Panos Nasiopoulos
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: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
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performing live-cell imaging of C. elegans germline stem cells - Designs and performs experiments to dissect the mechanism(s) regulating mitotic spindle orientation in C. elegans germline stem cells
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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to these specialized imaging tasks. Designing of advanced compression algorithms tailored specifically for medical imaging modalities. Minimum Requirements: Doctorate degree in Electrical and Computer Engineering An
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or molecular biology or any other relevant fields. Programming and high-performance computing Experience in design of computational pipelines for large-scale imaging Experience with programming languages and
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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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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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will be responsible for the planning, coordination, and administrative management of preclinical studies conducted within SAIL and the CTB Technology Platforms. The incumbent will serve as the central