Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Michigan
- Northeastern University
- University of British Columbia
- University of Miami
- University of Pennsylvania
- University of Southern California
- Stanford University
- University of California
- 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
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- 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
- 39 more »
- « less
-
Field
-
excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
-
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
-
and highly motivated to participate in team science, have strong computing skills, and experience in machine learning methods. This position offers the opportunity to participate in an innovative
-
, multimodal data harmonization approaches, statistical and machine learning methodologies, and translational tools that facilitate clinically meaningful interpretation of complex biomedical datasets. Key
-
. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data
-
computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
-
College of Health Sciences, College of Arts, Music, and Design, and the College of Engineering. It brings together a unique combination of disciplines, including neuroimaging, cognitive neuroscience
-
on the research strengths in bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges
-
not simply as a retrospective data source, but as a platform for translational research, clinical workflow innovation, and learning health system improvement. Applicants should demonstrate the ability
-
computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL