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Lara Baalbaki is a Research Assistant at the Technical University of Denmark, involved in projects focusing on Bayesian Inference and Inverse Problems. She is currently pursuing her PhD, with experience working on conditioned functionals and insights extraction from service usage. As part of her academic journey, she collaborates with experienced supervisors and examiners in her field, contributing to various research projects and academic discussions.
Technical University of Denmark • Kgs. Lyngby, Denmark
Conducting research on Bayesian Inference and related topics as part of the PhD program.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.