-
Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
-
, small-signal stability analysis, impedance- and admittance-based methods, frequency-domain characterization, grid-forming converters, multi-converter interactions, EMT-based validation and scalable
-
fields. Strong skills in the analysis of time-series data, statistical skills, effective communication, and organizational abilities are essential. A strong track record as evidenced by international
-
learning modelling expertise with experience in the analysis of challenging large-scale data sets. Experience with cellular imaging data or virology/immunology are a plus.Relevant skills include:•Experience