-
. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
-
, posters, presentations, and grant materials for peer-reviewed dissemination. Mentor students, trainees, analysts, and junior researchers while collaborating across a multi-institutional research network
-
highly collaborative research team dedicated to advancing our understanding of epilepsy, sleep physiology, and neural networks through cutting-edge clinical and translational research. Working alongside
-
and leadership development programming Grant-writing and funding support Teaching and mentoring opportunities Networking and professional advancement resources Individualized mentoring and career
-
scientists in biomedical research. Our Ph.D. students and postdoctoral fellows have published in strong journals, secured prestigious research awards and fellowships, and advanced to leading institutions and
-
or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
-
, conference travel, and professional networking Interested candidates should submit the following materials to Dr. Jason Somarelli at [email protected]: Curriculum vitae (CV) including a full list of publications
-
for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell