15 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" positions in Canada
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systems and to develop new dynamic retasking algorithms for heterogeneous sensor networks. The successful candidate will be a creative, hands-on experimentalist who enjoys system integration and problem
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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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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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’ histories, materials, structures, texts, and accretions over time through the application of technologies and methods developed in the natural, computational, conservation and other sciences. Examples might