15 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at The University of Iowa
Sort by
Refine Your Search
-
of Molecular Physiology & Biophysics (in collaboration with the Dept. of Psychiatry) is seeking a candidate for a postdoctoral scholar position. The successful candidate will be expected to conduct highly
-
muscular dystrophy and aging, stem cell based musculoskeletal tissue regeneration, and cellular and molecular mechanisms of osteosarcopenia in Duchenne muscular dystrophy. This position will play
-
Department:Biochemistry and Molecular Biology Salary Salary:$63,480.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: The Mandala Lab in the Department
-
the dynamics of psychiatric symptoms and brain function. The postdoctoral scholar will have opportunities to work with multiple complementary datasets, including large-scale developmental neuroimaging cohorts
-
endothelial response to surgery including cell-cell interaction prediction modeling as well as characterization of the surgically triggered “genomic storm” in human PBMCs and endothelial cells. The laboratory
-
interactions. Development and use of numerical simulation tools to study plasma–dark matter interactions. Analysis of astrophysical data to search for observational signatures of this physics. The group also
-
) lung injury. We employ complementary in vivo (mice) and in vitro (cell and tissue cultures) models to address mechanistic and translational questions in lung biology. My lab offers a unique situation for
-
resections for treatment of refractory epilepsy. The successful candidate will join our dynamic interdisciplinary team focused on improving the detection and treatment of neuropsychiatric disorders. We
-
models. Education Requirement: PhD in a biomedical science-related field. Required Qualifications: Demonstrated expertise in: Platelet functional assays and leukocyte biology Thrombosis and Hemostasis in
-
knowledge of statistical and computational research methods (e.g., predictive/user modeling), cognition/affect tracking, measurement theory, analyzing high-frequency time series data, experience with