Sort by
Refine Your Search
-
Listed
-
Employer
- University of California, Los Angeles
- University of Washington
- Baylor College of Medicine
- Rutgers University
- Sandia National Laboratories
- The University of Arizona
- University of California Berkeley
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- Washington University in St. Louis
- 1 more »
- « less
-
Field
-
to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
-
the opportunity to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and
-
simulated and measured results to assess quantities of interest. Interface with world-class exascale computing clusters. Work with a dynamic team of researchers, developers, experimentalists, and model
-
tools for interfacing with the brain, including genetically encoded voltage indicators (GEVIs), optogenetic silencers, and fluorescent proteins. We welcome candidates with diverse expertise, which may
-
multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
-
of Arizona's Linguistics Department seeks a Postdoctoral Research Associate to lead an undergraduate research team focused on noninvasive Brain-Computer Interfaces (BCIs) and consciousness. This role offers
-
University of California, Los Angeles | Los Angeles, California | United States | about 23 hours ago
will work on an NIH-funded project developing an ethical framework for participant engagement in long-term implanted brain computer interface trials, have the opportunity to collaborate with neural
-
, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
-
for participant engagement in long-term implanted brain computer interface trials and participate fully in the lab’s activities across campus. This position requires a doctoral-level degree in a relevant field
-
develop new technical skills for the group. The person will also interface with other research groups who are collaborators on NIH-funded research projects and will be required to participate in group