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multiple tasks with attention to detail Strong interpersonal, communication, and organizational skills Ability to work independently, and collaboratively Proficiency in computer applications for image
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: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience
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and revise existing IMAGE machine‑learning components to optimize efficiency, scalability, and quality of results. Implement conversions of existing non‑LLM components to LLM‑based approaches where
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transition abstract research needs into robust engineering solutions by evaluating and implementing the initial stack of open-source tools necessary for processing complex medical data (text, image, video
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imaging modalities · Strong proficiency in Python for scientific computing, including experience with machine learning and image processing libraries such as PyTorch, TensorFlow, NumPy, SciPy, or OpenCV
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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computer workstations, data storage servers, and networks in the lab, and perform routine data backup. Coordinate users and access to UBC Advanced Research Computing resources. Managing safe handling and
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Services and IIT personnel and supports end to end operations including technical solutions and support, computer lab and shared space managementand ensuring service level targets are met with consistently