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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 4 hours ago
implementation science, health services research, survey research, epidemiologic methods, or measurement development. Experience with REDCap, NVivo, and/or quantitative or statistical analysis software. Experience
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new challenges and assignments. Education: The successful candidate will have completed a PhD in a relevant discipline such as hydrology, water resources, civil or agricultural engineering
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
translational research building at BCCHR. The PDF reports directly to the Principal Investigator, Dr Megan Levings. No formal supervisory role; however, the incumbent will be expected to mentor junior trainees
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staff members promptly receive the accommodation they need to do their job and we understand the importance of work/life balance. NRC Herzberg is a leading developer of instrumentation for Canada’s
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should have obtained a PhD within the past five years (PhD received on or after September 30, 2022) or expect to complete their PhD within 6 months of appointment. * Exceptions may be considered
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Fellowship Description The Department of Mathematics and Statistics at the University of Guelph invites applications for a Postdoctoral Fellow specializing in multivariate statistical methods
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human health intervention, we are now recruiting a highly qualified Postdoctoral Research Associate with solid medical and health research backgrounds. Position Overview We seek a PhD holder with a strong
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. SUPERVISION RECEIVED The PDF reports directly to the Principal Investigator, Dr Megan Levings. SUPERVISION GIVEN No formal supervisory role; however, the incumbent will be expected to mentor junior trainees and
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, what architectures do they need, how can computing be done on them - Developing software for efficient comparisons and resource estimation - Exploratory research in novel computing methods, code
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) Textual and Voice data Apply supervised, unsupervised, and self-supervised learning methods. Develop explainable AI (XAI) approaches suitable for clinical use. Work with an international group