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Field
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integrates research, innovation expertise and national laboratories, and is responsible for providing support for the National Model Codes (via Codes Canada), the Canadian Construction Materials Centre, and
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multiple researchers, ensuring that research code is robust, reproducible, and accessible. The role is designed to provide broad exposure to modern computational neuroscience and neuro-AI research, with
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Posting Details Title Information Assistantship Title Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to the Graduate School 2
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to the Graduate
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to computational problems Ability to code in a programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set
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biological problems and communicate analytical results Customer focused approach to collaboration Ability to understand biological problems and translate them to computational problems Ability to code in a
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communicate analytical results Customer focused approach to collaboration Ability to understand biological problems and translate them to computational problems Ability to code in a programming language to
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 27 days ago
how administrative data can be better used to inform the prevention of serious violence. It will examine how homicide and serious-violence data are generated, coded, linked, and analysed. It will draw
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to the Graduate
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for epidemiology with some coding of simulations. Tentative start date: February 2026. This work will contribute towards the understanding of disease progression and building reinforcement learning frameworks