Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Stanford University
- Indiana University
- University of California, Los Angeles
- Northeastern University
- University of Reading
- Duke University
- European Space Agency
- Heidelberg University
- Massachusetts Institute of Technology
- New England HERC
- Rutgers University
- Technical University of Denmark
- The University of Arizona
- University of California, Berkeley
- University of Central Florida
- University of Copenhagen
- Yale University
- 7 more »
- « less
-
Field
-
technical expertise in machine learning, artificial intelligence, and data modeling approaches. We are committed to investigating the mechanisms of brain aging and developing innovative interventions to
-
large‑scale systems neuroscience with machine learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high
-
perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically
-
perception built with machine learning. They will build on the lab’s expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically enabled
-
Postdoctoral Research Associate, Adaptive Learning Agents and Computational Cognitive Science Posting Number req27365 Department Psychology Department Website Link https://psychology.arizona.edu/ Location
-
processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational neuroscience, or neuroscience venues, such as
-
expertise to investigate individual differences (that might predict learning and outcomes), underlying cognitive and neurobiological mechanisms, and intervention outcomes using tools including, but not
-
not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional
-
related fields. Prior lab experience is preferred but not required. Candidates with research experience in machine learning and artificial neural networks, are strongly encouraged to apply. The candidate
-
Applicable: Several other collaborators in the Anesthesiology Department with significant expertise in Machine Learning/AI are available to help provide overall guidance and strategy to the postdoc