Sort by
Refine Your Search
-
interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they
-
information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
-
. Mona Minkara Funding: NIH MIRA (R35) Grant Position Summary: The Computational Modeling for Biointerface Engineering (COMBINE) Lab at Northeastern University is seeking a Postdoctoral Research Associate
-
of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing
-
. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a
-
Internal Number: 6623984 Postdoctoral Research Associate About the Opportunity Job Summary The Wang Lab seeks to advance our understanding of chloroplast function using the model unicellular microalga
-
beyond the standard model, di-Higgs boson studies, and precision electroweak and QCD measurements. The postdoctoral researcher will be under the supervision of Prof. Bonilla Castro. The successful
-
cell driven regeneration using mouse models. The successful candidate will support projects investigating the molecular mechanisms of osteoarthritis and epiphyseal cartilage regeneration, as
-
Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve surveillance, prevention, and control of infectious
-
and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared