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Staff - Union Job Category BCGEU Okanagan Support Staff Job Profile BCGEU OK Salaried - Support Services Assistant II Job Title Scheduling Services Assistant Department UBCO | Support | Academic
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Student Management, Level C Job Title Scheduling Business Data Analyst Department Scheduling Services | Student Records and
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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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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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coding using R and adeptness in using RStudio for data analysis. Produce comprehensive reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms
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reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms. Proficiency in Canvas and content organization. Excellent communication skills. Responsible and
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learning with advanced algorithms such as Alphafold3 for molecule processing and foundation models for image processing. Designs and develops machine learning computer models (i.e. algorithms) for medical
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 16 hours ago
(Introduction to Software Engineering), CPSC_V 314 (Computer Graphics), CPSC_V 317 (Introduction to Computer Networking), CPSC_V 319 (Software Engineering Project), CPSC_V 320 (Intermediate Algorithm Design and
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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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