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Field
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Responsibilities: Conduct individual research within the designed project: process data, develop research methods, build and evaluate computer vision and machine learning algorithms empirically. Author research
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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teams and team members across the broader ISC and UBC community to collect and distribute knowledge and to understand and execute on product training requirements. Work Performed 1) Provides knowledge
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well as the heterogeneity of cell states and their spatial distribution within a tumor. CyCIF is applied to tissues from a diverse set of sources, including genetically engineered mice, patient-derived xenografts propagated
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algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence
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Packages/Procedures: Update, review, manage, and run daily, monthly, and quarterly reporting packages, with a keen eye on data quality and robustness, and distribute them to relevant parties within
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
systems, programming of critical software and infrastructure, high-performance computing, and distributed systems. Model-driven Software Engineering Cybersecurity, including security by design, blockchain
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: Neural networks and machine learning. Algorithm. Professional Experience: In the use of Python (PyTorch, TensorFlow) and C for the development and optimization of deep learning algorithms. Experience in
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experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
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and/or statistical algorithms to classify building and land-use types relevant to electrical consumption Label and prepare training data for AI models; develop automated pipelines for classification