-
no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing
-
years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing. • Proficient
-
of causal machine learning and optimal policy learning. • Proficiency in other languages such as Stata, and/or Python modeling languages. • Research experience using Python. • Experience working with large
-
. • Familiarity with vibration data analysis techniques. • Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. • Programming skills in Python, MATLAB, R, or similar
-
wind tunnels such a temperature/pressure sensitive paints, infrared thermography, PLIF, FLDI etc. • Proficiency in Python • Experience running simulations with high performance computing (HPC) resources
-
availability of funding. The successful candidate will join a vibrant group of graduate students, postdoctoral scholars, and faculty in quantum information theory across multiple departments on campus
-
applications to biological questions. • Solid background in coding. • Demonstrated ability to work effectively with a diverse team from multiple disciplines. • Demonstrated ability or potential to lead graduate