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, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will have the opportunity to join the science teams of three major Mars
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remote, augmented and virtual spaces. We work on overcoming the challenges of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential
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spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine learning techniques
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential and limitations arising from the use of AI-based methods in predictive feedback
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on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is comprised of faculty from OCAD University and York University in close partnership with collaborating institutions
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Posting Summary Logo Posting Number RTF00026PO20 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/8219 Business Title Postdoctoral Fellow Campus Columbia