Advanced Research Computing (ARC) provides researchers with digital technology, infrastructure and expertise to help them solve research problems that are either too large or too complex to undertake by other means. It includes access to both computational and storage resources, such as multi-core and many-core high performance computing (HPC or supercomputers) systems, distributed high-throughput computing (HTC) environments, large-scale data analysis frameworks (e.g., Hadoop, Spark), visualization and data analysis systems, large-memory systems, data storage, and cloud systems. This template is intended for researchers whose research cannot be conducted on a traditional computer but has to rely on one or more of the advanced research computing resources mentioned above. ARC-based research occurs in a wide range of fields including genomics, molecular dynamics, bioinformatics, neuroscience, biochemistry, quantum chemistry, structural mechanics, astrophysics, energy economics, climate change, machine learning, artificial intelligence, and the humanities.