Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Michigan
- Northeastern University
- University of British Columbia
- University of Pennsylvania
- University of Southern California
- Stanford University
- University of California
- University of Miami
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- ETH Zurich
- ETH Zürich
- Hong Kong Polytechnic University
- King's College London
- Nanyang Technological University
- Pennsylvania State University
- Rutgers University
- University of Florida
- University of Utah
- University of Washington
- BCBL - Basque Center on Cognition, Brain and Language
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Cardiff University
- Cardiff University;
- Fundació per a la Universitat Oberta de Catalunya
- Indiana University
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- KU LEUVEN
- Maastricht University (UM)
- Massachusetts Institute of Technology
- Max Planck Institute for Biological Cybernetics, Tübingen
- Monash University
- Springer Nature Ltd
- THE UNIVERSITY OF HONG KONG
- The University of Iowa
- UNIVERSITY OF VIENNA
- University of Bath
- University of California, Los Angeles
- University of Colorado
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of Nottingham
- University of Nottingham;
- University of South Carolina
- University of Texas at Austin
- University of Vienna
- Universität Wien
- Yale University
- 38 more »
- « less
-
Field
-
coworkers in the methodologies. Required Qualifications: • Master’s Degree in Biomedical Engineering/Computer Science/Neuroimaging • Strong understanding of machine learning, deep learning for biomedical
-
, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
-
, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
-
a core engine of adaptive development. Infants are conceptualised as active agents who shape their own learning by sampling information, reducing uncertainty, and updating predictions. We are building
-
of machine learning, neuroimaging and Psychiatry, developing methods with the potential to improve our ability to predict clinical outcomes. They will have the opportunity to work with rich brain MRI datasets
-
intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
-
related field; (b) hands-on experience with programming (e.g., Python); (c) an interest in AI, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating
-
modelling, automated neuroanatomical phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored
-
an emphasis on technology, data science and the humanities. The Dementia Research Centre (Singapore) (DRCS) conducts human research in neuropsychology, neuroimaging and biomarkers to advance understanding