-
modeling and computational techniques. You will also be exposed to experimental methods used to produce data that will be useful to calibrate and validate your modeling and computational approaches. You will
-
(e.g., vertical extensions, retrofitting, re-programming), integrating stakeholder insights, literature reviews, and real-world data, applying/developing new data-driven methods Identification
-
and original surveys with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face. We collaborate with a nonprofit
-
on: Synthesis and characterization of catalyst pattern with 3D porosity by electrodeposition methods Synthesis and process optimization of high aspect ratio microstructured gratings by metal assisted chemical
-
monitoring framework for Switzerland using cutting-edge seismic interferometry methods to probe the 4-dimensional (space-time) changes in subsurface fluids. Profile Join Our Dynamic Team as a Young Scientist
-
carrying partially unknown loads. This uncertainty results in conservative estimates of braking rates and dynamic performance, reducing efficiency both at the individual train level and across the network
-
magnetoresistance and polaronic transport. This project aims to develop novel computational frameworks to understand and predict the structure of such materials. Job description You will develop computational methods
-
Management, Business Administration, or a related field. Independence and high motivation for academic research in the group’s topics. Proficiency in empirical research methods, including statistics and data