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generated large-scale, multimodal datasets spanning neural imaging, electrophysiology, behavior, and molecular profiling. While these data offer unprecedented opportunities to understand brain function
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Location: On Campus The successful applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca
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deadlines. Skills: Background in horticulture, plant genomics, large-scale data analysis, or programming skills is preferred. Demonstrated experience in population genetics using genome-wide genetic marker
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 24 hours ago
, and partners. Assets Experience implementing large, multi-organization research grants. Bi-lingual (English and French). Additional Information Dalhousie University supports a healthy and balanced
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 days ago
, and partners. Assets Experience implementing large, multi-organization research grants. Bi-lingual (English and French). Additional Information Dalhousie University supports a healthy and balanced
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
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Location: On Campus The successful applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca
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encourage employees to achieve success and ensure information and service delivery within work units and with partner agencies in the community. You will also provide leadership on the implementation
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). RESPONSIBILITIES Reporting to Dr. Eva Oberle, Associate Professor, the incumbent will be responsible for: Conduct quantitative research using population-based and large-scale data on child health and wellbeing