-
to Grade 6. Desirable criteria Experience analysing single-myofiber or muscle-based datasets using modern frameworks and pipelines Familiarity with single-cell multi-omic data integration and network
-
functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices Excellent statistical and coding skills with demonstrated ability to apply and combine
-
frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
-
-dimensional data such as structural and/or functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices Excellent statistical and coding skills with
-
-versa. Digital Humanities methods can broadly consist of familiarity with skills like coding, data scraping, archiving, data visualization, relational databases, or digital storytelling, but may not be
-
claims of digital health infrastructures and their impact on grassroots health work and vice-versa. Digital Humanities methods can broadly consist of familiarity with skills like coding, data scraping
-
-versa. Digital Humanities methods can broadly consist of familiarity with skills like coding, data scraping, archiving, data visualization, relational databases, or digital storytelling, but may not be