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: CBRAIN is a flexible Ruby on Rails framework for accessing and processing large amounts of data across a distributed network of High Performance Computing (HPC) and Cloud Computing infrastructures. In
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regarding accommodations or accessibility during the job application, recruitment and hiring process or for more information and support, please visit UBC’s Center For Workplace Accessibility website at https
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experience; A detailed curriculum vitae; Contact information for 2 referees Applications should be submitted online at https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs (JR24926). Should you have any queries
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modelling, dynamical systems, scientific computing, or data-driven applications). Experience teaching large, multi-section courses and coordinating course delivery would be considered an asset
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Animal Clinical Sciences (https://wcvm.usask.ca/departments/large-clinical.php ), you will work as a member of the Field Service Section providing clinical service within the VMC. The Clinical Associate
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in Statistics, Biostatistics, Data Science or a related field by the time of appointment or shortly thereafter. Alternatively, applicants are required to have (i) a Masters in Statistics, Biostatistics
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be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca/tips-for-applying.php Criminal Record Check
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
Position Details Position Information Position Title Donald Hill Family Postdoctoral Fellow - Artificial Intelligence in Health & Medicine Posting Number PTAP3278P Department/Unit Computer Science
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary The Research Assistant assists the research team in
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● Experience in statistical data analysis. ● Experience with large-scale detector simulations and high-performance computing systems. Preferred Experience: ● Experience with cryogenic and/or low-background