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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets
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for outcome assessments for a range of brain diseases. The individual will schedule, train, and supervise research assistants, students, and instructors. They must ensure: 1) patient confidentiality and safety
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, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due to legislative restrictions). Further, data
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Software Engineer, IoT Department UBCO | Research Support | Bourbonnais | Department of Earth
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 8 days ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning
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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
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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
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software and languages, such as SAS/R/Stata, to explore data validity, develop research variables/algorithms/flags, create analytic cohorts for each study, create sub-cohorts for trainee-led analyses, and