Sort by
Refine Your Search
-
Country
-
Employer
- Texas A&M University
- University of Maryland, Baltimore
- Stanford University
- The University of Iowa
- University of Minnesota
- University of Oslo
- University of Texas at Dallas
- Babes-Bolyai University
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- INSERM
- Institut Pasteur
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- NEW YORK UNIVERSITY ABU DHABI
- Northeastern University
- Pennsylvania State University
- Ruhr-Universität Bochum
- The Ohio State University
- UNIVERSITY OF VIENNA
- University of California
- University of California Berkeley
- University of California, Los Angeles
- University of Glasgow
- University of Miami
- University of South Carolina
- Virginia Tech
- 16 more »
- « less
-
Field
-
focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
-
datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and
-
processes (such as language, memory, or attention). Work will be performed using a combination of EEG, intracranial recordings (DBS, sEEG), TMS, fMRI, EMG, brain lesions, computational modeling, and other
-
projects. Support the PI with analysis of data from different data acquisition techniques to inform best practices for infant fMRI data acquisition. Support implementation of novel motor task paradigm
-
University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
-center study conducted at UCLA and UCSF, leveraging advanced imaging techniques including QSM, multi-shell diffusion MRI, resting-state fMRI, and MR spectroscopic imaging. In addition to the HD project
-
advanced fMRI preprocessing with fMRIPrep pipeline (inBIDS -Brain Imaging Data Structure -environment). Ability to perform seed-to-voxel and voxel-to-voxel functional fMRI connectivity analysis with AFNI
-
analysis (e.g., fMRI, structural MRI, functional connectivity) • Experience with longitudinal or developmental datasets • Experience with digital phenotyping, wearable sensors, or sleep research • Experience
-
, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics laboratories. Applicants are required to upload a Research outline (uio.no) , stating research questions
-
, Neuroscience, or a related field. Strong publication record, including first-author papers utilizing fMRI. Proficiency with fMRI methods. Experience with eye tracking. Strong programming skills. Research
-
also involve simultaneously acquired and co-registered fMRI and EEG measurements. Measures of cognitive “Speed of Processing” are important for studies of healthy aging and many disorders, including