The successful candidate will analyze and interpret metabolic and mitochondrial data in relation to behavioral responses involving stress, anxiety, and motivation. They will employ bioinformatic, statistical, and machine learning approaches to synthesize diverse datasets encompassing metabolic, hormonal, physiological, and behavioral information, and investigate the relationships between gene expression, metabolic markers, and behavioral traits using public genetic repositories.
