Institution: Morgan State University, Baltimore, MD, USA

Project: Digital twins for the therapeutics of gestational diabetes (NIH-funded: OTA-26-004)

Position Summary: We are seeking a highly motivated Postdoctoral Fellow to contribute to the computational modeling of hypothalamic neuronal excitability and metabolic adaptation as part of an NIH-funded digital twin project. This research focuses on the complex neuronal networks modulated by metabolic and placental hormones during pregnancy. The successful candidate will drive a crucial phase of our multi-aim workflow, constructing mechanistic models that capture how circulating hormones alter the excitability of feeding circuitry to regulate glucose control and energy balance across healthy, obese, and diabetic maternal cohorts.

Required Qualifications

* Ph.D. in Applied Mathematics, Mathematical Biology, Computational Neuroscience, or a closely related discipline.

* Proven expertise in building mechanistic mathematical models of neuronal excitability (e.g., Hodgkin-Huxley or network conductance models).

* Advanced proficiency in MATLAB/Python programming for computational model development.

* Strong track record of independent research and peer-reviewed scientific publications.

Preferred Qualifications

* Background in neuroendocrinology, hypothalamic circuitry, or metabolic regulation (e.g., glucose homeostasis).

* Experience aligning complex computational models with variable clinical datasets, such as blood titration data or hormone profiles.

* Ability to work in a collaborative, multi-disciplinary team setting encompassing systems biology, genetics, and clinical data collection.

Contact: Send me your CV to Pilhwa Lee, Pilhwa.lee@morgan.edu