89 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Fellowship positions in Canada
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Fellow in Artificial Intelligence and Indigenous Knowledge for its research “pod” in Toronto, Canada. Abundant Intelligences conceptualizes, designs, develops, and deploys Artificial Intelligence based
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research and development. Here, you can apply your engineering talent to develop new life-saving technologies – for example, medical imaging, wearable devices, surgical robotics and laboratory-grown tissues
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the opportunity to work on innovative research projects alongside expert researchers while developing their career. Areas of research include: Ionizing Radiation Standards Plant Regeneration through
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the development of excellent doctoral and postdoctoral training programmes and collaborative research projects worldwide. By doing so, they achieve a structuring impact on higher education institutions, research
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. This initiative aims to develop highly skilled researchers advancing knowledge and improving outcomes for individuals affected by stroke-related cognitive decline. The fellowship fosters innovative research
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developed for a range of important brain disorders, including neurodegenerative dementias, movement disorders and neuroinflammatory diseases such as multiple sclerosis, epilepsy and neuropsychiatric
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Applications. • January 15 – March 1st: Applicants seek endorsement from host institution to apply, prepare and submit application. • March 15: Deadline for Application. • June 15th: Notice of Decision
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Translating basic science discoveries into practice Improving techniques to measure pain Developing new and more personalized treatment approaches Alternative approaches to pain management including research
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other co-morbidities. The exciting next stage of this program will be to expand to multiple countries in East and West Africa, with rigorous evaluation. We are looking for an individual with a desire to
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. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects