Sort by
Refine Your Search
-
, and biomedical data analysis. Mentoring: The candidate will work closely with the Principal Investigator and senior laboratory members. They will participate in regular one-on-one meetings with the PI
-
well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput experimental
-
involved in this amazing regenerative ability, using molecular imaging, confocal microscopy, (single cell) RNA sequencing, chromatin profiling, and computational analysis. For more information on the lab
-
supercomputing clusters at Yale, complete data processing, organization and analysis. They will learn to utilize R or related programs for analysis, graphing and coding. All human subjects research training will
-
. Other projects may be added to the portfolio in the future. Key responsibilities: Support with project coordination including overseeing research design, data collection and analysis, leading meetings and
-
experience in experimental design, data analysis, scientific communication, manuscript preparation, and grant-supported translational research. Training The Postgraduate Associate will receive hands
-
such mechanisms as surveys, interviews, focus groups and competitive analysis. 13. Manages a staff of exempt and non-exempt employees. 14. May perform other duties as assigned. Required Education and Experience
-
diverse sample of women. The postgraduate associate will be responsible for study management, recruitment, and behavioral and EEG data collection and analysis. The postgraduate associate will be overseen by
-
from existing University resources, including various institutional databases. The analyst will determine what statistical technique is most appropriate to a question, carry out analysis, and prepare and
-
, research questions, and methodological best practices. Acquisition and preparation of core datasets for analysis, such as mortality data, hospital data, pharmacy data, survey data, legal data, and population