Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
institutional policies for working with sensitive data. Minimum Qualifications Education Master’s degree or equivalent in economics, public policy, public health, statistics, biostatistics, bioinformatics, data
-
analysis, and detailed spatial bioinformatics. This will include cell-cell interaction analysis, spatial neighborhoods, and tissue schematics. They will be responsible for meeting with other lab members, PI
-
for a Postdoctoral Associate. The lab utilizes contemporary methods in molecular genetics, genomics, cell biology, biochemistry, bioinformatics and microbiology to answer basic and translational questions
-
Duke University, Biostatistics & Bioinformatics Position ID: Duke -Biostatistics & Bioinformatics -DCRI2024BIOSTAT [#29194, MN] Position Title: Position Type: Non tenure-track faculty Position
-
Duke University, Biostatistics & Bioinformatics Position ID: Duke -Biostatistics & Bioinformatics -DCRI2024AI [#29227, BG] Position Title: Position Type: Non tenure-track faculty Position Location
-
experimental procedures. Data preparation for oral presentations, grant applications and publication in professional journals. Implementation of bioinformatics approaches. Conformance to standards of responsible
-
methods, including but not limited to difference-in-difference analyses Develop and apply biostatistical and bioinformatics methods and pipelines to integrate genetic and epidemiological data for novel
-
multiple affiliations. Duke University is seeking a Research Statistician in the Department of Biostatistics & Bioinformatics (https://biostat.duke.edu/ ) within the School of Medicine. In 2024, Duke
-
. Responsibilities/Duties: · Perform biostatistics and bioinformatics for scRNA seq analysis. · Perform molecular, cellular, biochemical and immunological analyses · Optimize and troubleshoot experimental protocols
-
experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial