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: Mathematics and Statistics Department Position Summary: Conduct a research project on methodological development of contrastive learning approaches for dimension reduction techniques (e.g., t-SNE, UMAP). Review
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record of developing and implementing novel machine learning (ML) and deep learning (DL) algorithms in healthcare, exercise sciences, or other spaces. Extensive experience in utilizing ML libraries such as
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developments in the areas of minimally invasive joint replacement, improved bone healing, advanced techniques in spinal surgery, innovative arthroscopic techniques, and improved biomaterials and implants
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with expertise in biology, biotechnology, computer science, microscopy and bio-engineering that is developing new microscopy hardware and new computational algorithms for the encoding and decoding
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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within our HubMeta platform. The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr
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team of about 10 people working on client projects: developing EDI strategies and action plans, supporting community engagement, developing client training, submitting proposals, and more. Qualifications
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine
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hydrogen/methane blends in 15 MW boilers and prepare a report (thermal power and heat transfer analysis at large-scale); b) Collaborate with UBC technicians in acquiring data from our 15 MW boilers, analyze
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research and development. Here, you can apply your engineering talent to develop new life-saving technologies – for example, medical imaging, wearable devices, surgical robotics and laboratory-grown tissues