Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Rutgers University
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- Ghent University
- ;
- New York University
- University of Miami
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Aalborg University
- Baylor College of Medicine
- Brookhaven Lab
- Carnegie Mellon University
- Duke University
- Heriot Watt University
- New York University of Abu Dhabi
- Stanford University
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- UNIVERSITY OF VIENNA
- University of California
- University of Cambridge
- University of Central Florida
- University of London
- University of Oslo
- University of Twente
- Yale University
- Aarhus University
- Argonne
- Arizona State University
- CEA
- CWI
- Chalmers University of Technology
- European Space Agency
- Indiana University
- Institut Pasteur
- King Abdullah University of Science and Technology
- Leibniz
- Manchester Metropolitan University
- Max Planck Institute for Brain Research, Frankfurt am Main
- Medical College of Wisconsin
- New York University in Abu Dhabi
- Oak Ridge National Laboratory
- Pennsylvania State University
- Purdue University
- Radboud University
- SUNY Polytechnic Institute
- SciLifeLab
- Stony Brook University
- THE UNIVERSITY OF HONG KONG
- The Ohio State University
- The University of Iowa
- Tsinghua University
- Universiteit van Amsterdam
- University of Birmingham
- University of Connecticut
- University of Maryland
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oregon
- University of Oxford
- University of Southern Denmark
- University of Vienna
- University of Virginia
- University of Washington
- Utrecht University
- VIB
- Washington University in St. Louis
- Wayne State University
- Westlake University
- 61 more »
- « less
-
Field
-
research focuses on a geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics
-
for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
-
models, programming, and quantitative methods. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel
-
optogenetic investigations of cognition-related hippocampal formation and related brain networks. ? Analysis of electrophysiologically-evoked responses to assess synaptic population changes
-
of neuronal loss to better understand why neurons die or axons are damaged to ultimately establish new strategies for the preservation or restoration of neural tissue. We use multiple approaches, but focus
-
of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
-
& Perception Laboratory (NA&P Lab), led by Dr. Sabine Kastner at the Princeton Neuroscience Institute. The lab studies neural mechanisms of cognition in the primate brain. Intracranial recordings from human
-
graph neural networks for complex sensor networks such as those involved in brain imaging Develop and test data-driven methods for image and video processing for microendoscopy. Key Duties and
-
simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
-
researcher to investigate the neural mechanisms underlying decision-making, using the fruit fly Drosophila melanogaster as a model system. Funded by the BBSRC, this project will combine innovative behavioural