解码化学起源：基于核磁共振指纹的贝叶斯推断

This project investigates how to determine the origin of chemical compounds using isotopic variations detected through Nuclear Magnetic Resonance (NMR) spectroscopy. By combining NMR data with Bayesian methods and machine learning, the aim is to enhance source attribution accuracy for forensic and environmental applications. Candidates should be interested in statistical techniques and data analysis.