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Field
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of â˜omicsâ™ datasets. Hands-on experience
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will collaborate closely with a PhD student and the broader project team and will contribute to the implementation and follow-up of the randomized controlled trial evaluating internet-based therapy
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leverage these findings for bioengineering applications. Candidates completing (i.e., with a confirmed defense/viva date) or holding a PhD in chemical engineering, physics, bioengineering, chemistry, or a
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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. Neuroimaging Analysis: Programming and prior experience with neuroimaging data analysis is required. Statistical Analysis: Solid foundation in statistical modeling and data analysis is required. Experience with
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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projects, including writing funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications: PhD: A PhD in ecology, biology, environmental sciences, civil engineering, or a
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD degree in biomedical engineering, neuroscience, cognitive science or a closely related field required. Experience in collecting