-
. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze
-
as well as RNA processing mechanisms in bone regeneration, and to define molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Research
-
molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Investigating innovative roles of immune cells in the homeostasis of musculoskeletal
-
cigarettes. The experimental approaches will range from in vitro chemistry to animal models and human research. Successful applicants should have a doctoral degree in chemistry, biology, or a related field and
-
with the following skills and background: Proficient in basic and complex statistical modeling (e.g., multilevel models) Proficient in the analysis of qualitative data Strong first-author publication
-
, proficiency in standard molecular biology and biochemical techniques, experience with 3D image processing and modeling software for structural analysis (such as IMOD and UCSF Chimera). A strong background in
-
replication and pathogenesis mechanisms of hepatitis B virus, using a variety of technologies including biochemistry, molecular and cell biology, and animal models. The scholar will be responsible for training
-
approaches. Education Requirements: The successful candidate will possess a doctoral degree with expertise in molecular biology, experience with in-vivo and in-vitro models of inflammation testing, and