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contexts, marrying computational law, symbolic AI, and large-scale evaluation into a blueprint for safe child-facing AI. The successful candidate will: Lead high-impact research at the intersection of multi
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experience managing/ overseeing/ leading multiple/large/complex program(s) keeping the impact on/ needs of customer in mind. Demonstrated experience in strategic planning, prioritizing of programs and defining
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mechanisms, (3) characterize disease mutations in ciliopathies, and (4) explore therapeutic avenues for cilia-related disorders affecting the brain, kidney, skeleton, eyes, and other tissues. This is an
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program(s) keeping the impact on/ needs of customer in mind. Demonstrated experience in strategic planning, prioritizing of programs and defining approaches for implementation. Significant experience in
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Job Description The IT Technician (Level II or I) is responsible for providing hardware and software support for local computing resources. Supports local networking resources and requirements
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PhD in computer science, physics, mathematics, or a related discipline Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
with the host institution on governance and administrative requirements. Apply now About the Canada Impact+ Emerging Leaders opportunity The Canada Impact+ Emerging Leaders program supports
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points with organelles. Although the impact to life sciences will be great, a candidate in this role will spend most of their time on the electron microscopy method development. This will involve analysis
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targets. Together, we will discover new drug targets, map where to therapeutically target them to affect their function, and understand how to get molecules to accumulate appropriately to access those
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department