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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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research proposals and implementing data collection and analyses. Share findings with health system and community partners (through meetings, summary briefs, presentations), present at public health and
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contact information of references to: David G. Cory Canada Excellence Research Chair Laureate in Quantum Information Institute for Quantum Computing University of Waterloo dcory@uwaterloo.ca Equity
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a
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. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience
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the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single-cell omics datasets