Sort by
Refine Your Search
-
sequestration. The postdoctoral scholar will be supervised by Dr. Brian Silliman (Duke University) with many opportunities to collaborate with others at Duke and in coastal NC. The field work environment will be
-
decoding in real-world and virtual reality environments. Key Responsibilities: · Design and implement experiments studying memory and navigation, integrating intracranial recordings, wearable sensor data
-
work and learning environments that are free from harassment and prohibited discrimination. Duke prohibits discrimination and harassment in the administration of both its employment and educational
-
: Durham, North Carolina 27701, United States of America [map ] Subject Area: Engineering / Civil and Environmental Engineering Appl Deadline: (posted 2025/07/18, listed until 2025/07/25) Position
-
engineering research in a supportive and collaborative environment. Our goal is to advance bioelectronic medicines: electrical stimulation, block, and recording of peripheral nerves for disease treatment and
-
, 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
-
collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent
-
guiding postdocs to high-impact publications, prestigious fellowships, and independent academic careers. A supportive environment that fosters the development of independent research skills. Ample
-
will be expected to work both independently and as part of a team and positively contribute to a highly collaborative environment. Specific projects pertaining to this position include defining and
-
statistical models to investigate gene by environment interactions and to utilize bioinformatics resources and high-dimensional –omics data to elucidate the biological significance of the statistical analysis