-
Experience with population genetics or statistical genetics Familiarity with Bayesian methods, probabilistic modeling, or graphical models Experience with scientific computing in Python, JAX, Torch, Julia, C
-
of faceted, nonspherical granular particles. This multi-PI project integrates graph/network theory, granular mechanics, 3D X-ray diffraction and imaging, and discrete element method simulations. The successful
-
participate in a nationwide cohort for shared learning, professional growth, and network-building. Fellows gain practical experience, advance meaningful work, and help strengthen the state's civic science
-
, 2026 to January 1, 2027. Research Environment The fellow will be embedded within a rich collaborative network, working under the auspices of the Urban Collaboratory and in close connection with
-
. Current projects integrate mechanistic molecular biology, mouse models, and cutting-edge multiomic analyses of human tissues to uncover epithelial gene regulatory networks and translate these discoveries
-
, under the primary supervision of Dr. Murthy, with close collaboration with Dr. Goonewardena and a broad network of national and international research partners. The fellow will lead multi-omic analyses
-
of Dr. Murthy, with close collaboration with Dr. Goonewardena and a broad network of national and international research partners. The fellow will lead multi-omic analyses using pipelines built by