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of Naval Architecture & Marine Engineering (NA&ME) invites applicants for the position of Research Area Specialist Senior. The successful candidate will spearhead efforts to use and develop state-of-the-art
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learning. At least five (5) years of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability
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at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI technologies and their
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with a custom code to develop all sky, point source subtracted images of GALEX data. These images will be combined with other sources, published on MAST, and incorporated into a paper. This will be used
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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and develop scripts to transform data from multiple data sources into primary data collection centers and make the data analytical-ready. Integrating, filtering and extracting multivariate and
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projects involving methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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of navigation systems Algorithmic development Independently lead specific tasks within project scope Required skills/knowledge include: Strong written, oral, and interpersonal communication skills Experience
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
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