7 algorithm-development-"Multiple" positions at University of British Columbia in Canada

  • University of British Columbia | Vancouver UBC, British Columbia | Canada | about 11 hours ago

    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

  • University of British Columbia | Vancouver UBC, British Columbia | Canada | 20 days ago

    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

  • University of British Columbia | Vancouver UBC, British Columbia | Canada | 12 days ago

    creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern

  • University of British Columbia | Vancouver UBC, British Columbia | Canada | 15 days ago

    scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical

  • University of British Columbia | Vancouver UBC, British Columbia | Canada | about 1 month ago

    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

  • University of British Columbia | Vancouver UBC, British Columbia | Canada | about 2 months ago

    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

  • University of British Columbia | Vancouver UBC, British Columbia | Canada | 2 months ago

    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

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