41 image-coding-"UCL"-"UCL" Postdoctoral positions at Rutgers University in United States
Sort by
Refine Your Search
-
: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
-
Knowledge, Skills, and Abilities - Prior experience in somatosensory research. - Familiarity with advanced imaging, electrophysiological techniques, and behavioral assay methodologies. - Proficiency in using
-
related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
-
Brain Imaging Research (CAHBIR) and the RWJMS Department of Psychiatry. The Clinical and Affective Neuroscience Lab https://sites.rutgers.edu/canl/ conducts behavioral and neuroimaging studies
-
federal, state and Rutgers's compliance standards as they appear in RBHS's Corporate Compliance Policy, Code of Conduct and Interest policy. Acts as a role model for corporate integrity, customer service
-
the pre- and post-processing of Magnetic Resonance (MR) images (or utilization of existing brain imaging markers), taking peripheral or central biomarkers, and regressing them against those images using
-
a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human Brain Imaging Research (CAHBIR
-
processes relevant to human health and disease using using genetics, molecular biology, biochemistry, cell biology, and microscopy/imaging. A qualified candidate will be capable of working independently
-
federal, state and Rutgers's compliance standards as they appear in RBHS's Corporate Compliance Policy, Code of Conduct and Interest policy. Acts as a role model for corporate integrity, customer service
-
2p imaging in head-fixed mice. Compile and analyze data with appropriate conclusions and recommendations in support of further CHI research. Communicate with the PI and present the data in a timely