A Hybrid Analytical Framework Combining High Resolution Mass Spectrometry with Bayesian Machine Learning for Source Apportionment of Particulate Matter Bound Polycyclic Aromatic Hydrocarbons and Cardi

Department

Chemistry, Physical Sciences, Chemistry

Research Field

Analytical Chemistry

Environmental and Water Chemistry

Keywords

Collaboration Type

academic

Desired Skills

Python, Data Analysis, Analytical Techniques, Lab Experience

Duration

Short-term (< 6 months)

Funding

Unfunded

Target Outcome

Journal Publication