Sort by
Refine Your Search
-
Listed
-
Employer
- Rutgers University
- Duke University
- The University of Arizona
- University of Kentucky
- Yale University
- New York University
- Stanford University
- Argonne
- Brookhaven Lab
- Carnegie Mellon University
- Georgetown University
- Pennsylvania State University
- Stony Brook University
- The University of Iowa
- University of Connecticut
- University of Oregon
- Cold Spring Harbor Laboratory
- George Washington University
- Medical College of Wisconsin
- Nature Careers
- Northeastern University
- Purdue University
- University of Central Florida
- University of Minnesota
- University of Virginia
- Virginia Tech
- 16 more »
- « less
-
Field
-
. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
-
position. The successful candidate will develop and execute a novel research program at the interface of sensory-motor systems, quantitative behavior, and neural computation. The Audette Lab is a new
-
activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience
-
execute a novel research program at the interface of sensory-motor systems, quantitative behavior, and neural computation. The Audette Lab is a new research group funded by the University of Connecticut and
-
-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent
-
. 1) Linking Retinal, Neural, and Perceptual Deficits in Visual Disorder: Individuals in the UAE are at substantial risk for perceptual deficits due in part to one of the highest diabetes rates in
-
applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
-
of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
-
of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
-
Postdoctoral Associate to investigate the neural mechanisms underlying continual learning in humans. The successful candidate will develop computational models examining the tradeoff between task