Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Stanford University
- University of Maryland, Baltimore
- THE UNIVERSITY OF HONG KONG
- University of Washington
- Karolinska Institutet (KI)
- King's College London
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Texas A&M University
- Baylor College of Medicine
- CNRS
- Institut Pasteur
- Pennsylvania State University
- Radboud University
- Rutgers University
- The Ohio State University
- The University of Iowa
- University of Miami
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Southern Denmark
- University of Texas at Arlington
- University of Texas at Dallas
- Aarhus University
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Emory University
- FAPESP - São Paulo Research Foundation
- Institute of Photonic Sciences
- Johns Hopkins University
- Leibniz
- McGill University
- Medical University of Lublin
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Published 5 Dec ’25
- Stony Brook University
- Umeå University
- Universitat de Barcelona
- University College Cork
- University of Antwerp
- University of Delaware
- University of Florida
- University of Oregon
- University of Sydney
- University of Texas at Austin
- Université de Bordeaux / University of Bordeaux
- Washington University in St. Louis
- 38 more »
- « less
-
Field
-
project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements
-
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
-
) are required. Should be self-motivated, independent, and reliable. Research experience in affective, clinical, or cognitive neuroscience (e.g., conducting and analyzing fMRI or MRI studies), will all be viewed
-
, the researcher will evaluate reconstruction accuracy using established 2D diagnostic metrics, expert fetal cardiologist assessments, and uniquely matched MRI–ultrasound datasets. They will also assess
-
focusing on encapsulated cell-based therapies for the treatment of diabetes. This post-doc will lead the development of magnetic resonance spectroscopy (MRS) and imaging (MRI) methodologies and conduct non
-
language functions arise from large-scale brain networks and how these networks differ across individuals. The project combines advanced diffusion MRI tractography, functional imaging and multivariate
-
such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving
-
, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate works with data PET-MRI, EEG, and fMRI data collected from on-going mechanistic clinical trials
-
data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
-
., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information