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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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Project Overview: Foundation models have revolutionized natural language processing. These are models trained on broad datasets with powerful generalization tasks such as the GPT series. There have
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Citizenship Canadian Permanent Resident International Degree Level Doctoral The Google PhD Fellowship Program was created to recognize outstanding PhD graduate students doing exceptional work in computer
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are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and
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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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(renewable based on performance and funding) Project Overview: We have identified a novel gene involved in neurodevelopmental disorders, in collaboration with clinicians and a patient association. You will
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, Darren Clark, Patrick Whelan, Andrea Protzner). The project is NSERC-funded and involves focused ultrasound (FUS) neuromodulation imaging/electrophysiology and modeling. Focused ultrasound is emerging as
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understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will: Investigate mechanisms of T-cell development, aging, and thymic
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-cell compartment, develops and deteriorates with age, and how these processes can be understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
services. Specifically, we use large health administrative data and national population health data to develop risk prediction models to inform early identification of mental health problems, mental health