Sort by
Refine Your Search
-
will be accepted after 2025/05/15 11:59PM US Eastern Time. Position Description A postdoctoral associate position is available in the Bartesaghi Lab at Duke University to work in the development of image
-
. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
-
and spontaneous intracranial hypotension (SIH). Duke is an internationally recognized clinical and academic center of excellence for imaging guided spine intervention and has been highly productive in
-
, creative, individual to pursue applications in ultrasound microvascular imaging in an innovative, collaborative environment. We are engaged in both development of super-resolution ultrasound imaging and its
-
. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of
-
applications for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun
-
circuits that regulate motivational and emotional states. The lab uses many state-of-the-art techniques, including deep-brain calcium imaging (2-photon in vivo microscopy) with single-cell resolution and
-
engineering or related disciplines with experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with
-
behavioral assays related to reinforcement learning and neuropsychiatric disease models. • Combine DART with modern imaging and behavioral tools to examine neurobiological mechanisms. • Analyze data, document
-
zebrafish embryos as a model system. We employ a multidisciplinary approach combining high-resolution microscopy, advanced image analysis, genetics and transcriptomics. Current projects include investigating