Sort by
Refine Your Search
-
Listed
-
Field
-
, CPRD) or hospital electronic health records Experience with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory
-
for candidates to have the following skills and experience: Essential criteria PhD in statistics, data science, biostatistics, machine learning or a closely related quantitative discipline. Excellent mathematical
-
with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory or consultancy experience Understanding of implementation
-
designed to identify genetic and cognitive predictors of treatment response across large, well-characterised samples. The programme integrates genomic data with cognitive phenotyping, digital assessments