Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Conservation at Duke University. The position is ideally suited to researchers with interests in applied coastal ecology. There is room for independence in addition to a large focus on seagrass restoration
-
responsibilities will include: Lead in the development and execution of a plan/procedure for the collection of data (i.e., querying large databases using SAS, SQL, or other language), and the editing, validation
-
mechanisms underlying risk for addictive disorders—with a primary focus on tobacco dependence and relapse—and translating this information to develop more efficacious interventions. This position is supported
-
with the Chief Health Information Officer (CHIO) and Chief Data Officer (CDO), align clinical and non-clinical workflows using analytics, automation, and emerging digital tools. Identify and leverage
-
the opportunity to work at the cutting edge of synthetic biology and contribute to the development of enabling technologies for large-scale, data-driven biology. The Staff Scientist will be a core member of a
-
. Postdoctoral Associate Position Haynes Lab Be You. The Duke Human Vaccine Institute (DHVI) provides national and international leadership in the fight against major infectious diseases. We are a large
-
microbiomes, host transcriptomics, and metabolomics to define OAB phenotypes using samples from large human cohort studies. · Community Engagement and Advocacy: Additional efforts include promoting evidence
-
and data analysis. Start date is negotiable for the right candidate. We have a preference for candidates that could start early June 2025. 40hrs/week position. Preferred Qualifications Education
-
appropriate. Supervise, coordinate and participate in the preparation of various reports and analyses using large data sets. Perform other related duties incidental to the work described herein. Minimum
-
responsibilities will include: Lead in the development and execution of a plan/procedure for the collection of data (i.e., querying large databases using SAS, SQL, or other language), and the editing, validation