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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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Previous Job Job Title Post Doctoral Fellow - Computational Biology (Dr. Wan's Lab) Next Job Apply for Job Job ID 56921 Location Columbia Full/Part Time Full-Time Add to My Favorite Jobs Email this
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teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms & validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed tomography
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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82304 for the Epilepsy Navigation (EpiNav™) Software Platform. EpiNav™ provides state-of-the-art computer-assisted support for the planning of stereotactic neurosurgery procedures. It has been in daily
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such as quantisation and sampling are often ignored during the verification of AI models. Yet, they are pervasive phenomena in any engineering application where digital compute platforms interact with
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Evaluation Research (HEER) Program, we provide accessible data to policymakers, advocates, and the public. Our work focuses on understanding social drivers of health, revealing health inequities, and
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200 people, working in four divisions: Algorithms, AI & Data Science, Software, and Interaction. The atmosphere is collegial and informal. You will join the Human-Centred Computing group
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large