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resolution, across a range of research applications. These projects will be conducted in close collaboration with NGI Uppsala, providing access to state-of-the-art technologies and instrumentation for high
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of the project, through development of the R package treepplr (www.github.com/treeppl/treepplr ). The work will include development and implementation of methods to test model adequacy, inference diagnostics
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experimental platforms will be tailored to the applicant’s expertise and aligned with the project's needs. Working with human skin biopsies, wound tissue, and in vivo models of impaired wound healing
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, or public health data from pathogen surveillance efforts and biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from