50 advance-soil-structure-modelling Postdoctoral positions at University of Minnesota
Sort by
Refine Your Search
-
mechanisms of metabolic diseases and cancer; developing novel strategies in biocatalysis and biotechnology; and advancing knowledge through structural biology and molecular biophysics. We organize ourselves
-
Expertise in conducting advanced statistical analyses (e.g., data reduction techniques, multilevel models, structural equation modeling) in SPSS, Stata, Mplus, or R Proficiency in data visualization Potential
-
scholars specializing in dynamical systems modeling of neuronal networks for work on a BRAIN Initiative-funded R01 in collaboration with Gordon Smith at the University of Minnesota and Audrey Sederberg
-
advancing knowledge through structural biology and molecular biophysics. We organize ourselves into research divisions with emphasis on Chemical and Structural Biology , Metabolic and Systems Biology
-
. The role offers exceptional opportunities for professional development, including learning the latest advancements in large language models, translating these innovations to genomic applications, and leading
-
(e.g., Neuropixels recordings) in awake, behaving rodents. • Computational modeling and advanced data analysis. At least one role will be embedded within the newly launched Simons Collaboration
-
modeling, physiological signal analysis, and innovative neuromodulation strategies for neurological disorders such as epilepsy, chronic pain, and autonomic dysfunctions. Primary Responsibilities 35
-
modification and DNA methylation) and 3D genome organization studies on the interplay between EBV infection and host interactions. Using in vitro B cell transformation model and 3D organoid to understand
-
experimental and computational methods for integrated multi-omics studies. About the Role · Lead independent research projects investigating somatic mosaicism in various tissue types of human or mouse models
-
modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and