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Proficiency in R and Python Experience with cancer genomics, single-cell RNA-seq and/or ATAC-seq analysis (strongly preferred) Ability to work independently as well as collaboratively in an interdisciplinary
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. * Strong background in numerical mathematics, modelling and simulation is required. * Knowledge in Inverse Problems. * Experience in programming (e.g., Matlab, C, Python). * A high level of competence in
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, linear mixed models, structural equation modeling, multilevel models) You are proficient in using one or more common statistical analysis software packages (R, SPSS, Mplus, Python, etc.) You have a very
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. Qualifications Completed or soon-to-be-completed PhD in Data Science, Network Science, Computational Social Science or related fields. Solid knowledge in network and Data Science, programming in Python or R, and