85 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Fellowship positions in Canada
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importance to Canada. PDFs will carry out research on innovative research projects, with opportunities for career development (publications and/or industry interaction). PDFs will be offered appointments
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documentation. Develops integrative models of radiation response through the combination of genotype and biomarker data. (Raman, blood marker etc.) Facilitates processes for data transfer and collaboration by
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use care across BC. To this end, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional health authorities, researchers, educators
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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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. Responsibilities Designing and developing research plans and conducting analysis Organizing and structuring research protocols appropriate to research proposal aims and objectives, in consultation with the PI
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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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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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. 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