Sort by
Refine Your Search
-
control, unit testing, source code management, documentation, and CI/CD workflows. Candidates with prior experience in graphical user interface design, data visualization, and the publication and
-
, a7nAChR, a9* nAChR, GIRK1/2, GIRK1/4etc.). Key initial responsibilities will include biochemical and ADME/PK studies and data analysis, SAR hypothesis generation, empirical and structure-based target design
-
applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc.. Participation in these projects will include
-
., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
-
these projects will include supervising/mentoring graduate/undergraduate students, scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc. 15% Assist in Securing sufficient
-
with other faculty and researchers of the Center. Responsibilities: This postdoctoral position will involve leading independent research, as well as conducting analysis of existing data, which can range
-
. ● 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
-
. Responsibilities The fellow will play a collaborative and leadership role in project design, study implementation, analysis, survey construction, data collection, data analyses, preparation of publications and
-
publications, as well as grant writing. Successful candidates should have strong technical skills, including experiment design and data analysis, along with excellent management and communication skills
-
. Through hands-on experience, fellows will work with various cross-functional teams to learn the role of Medical Affairs, develop skills in the analysis, interpretation, and communication of clinical data