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Required Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation Have a good understanding
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studies of organic, organometallic, photoredox, radical, or homogeneous catalytic systems. Fluency with Python and modern scientific computing workflows; experience with Git, HPC clusters, SLURM, Gaussian
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about evidence synthesis and/or bibliometrics methods; Experience with coding and programming in R or Python. Should be proficient enough to work independently with standard packages and troubleshoot
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. Strong expertise in energy systems modeling, particularly optimization-based approaches, and demonstrated experience with scientific programming and data analysis using tools such as Python, Pyomo, Pandas
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characterization techniques Expert in the importance of defects for material properties and performance Expert in combining different numerical tools via Python scripting Experience in performing complex simulations
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in Python or MATTLAB Qualifications: PhD required A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Joining the CMU team opens
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printed circuit board prototyping Basic data analysis using MATLAB or Python Experience with microcontrollers Problem solving skills and out of the box thinking A combination of education and relevant