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was successful in all three funding lines of the German Excellence Initiative and has also been competing successfully in both funding lines of its successor programme, the Excellence Strategy, since
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at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC AI and Health Network Fellows Program. Under the supervision
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experimental collaborators to connect computational innovations to biological insight, with the goal of producing high-impact publications in computational neuroscience and AI. Candidate We are seeking
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on performance and successful additional funding Salary supported by the UBC AI and Health Network Fellows Program Equity, Diversity, and Inclusion UBC is committed to employment equity and fostering an inclusive
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cross-national exchange and collaboration. The program is open to eligible individuals from the following countries: Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Singapore
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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
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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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Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
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of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU-59003
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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind