Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- University of British Columbia
- Zintellect
- University of Arkansas
- University of Bath
- DURHAM UNIVERSITY
- Heriot Watt University
- LINGNAN UNIVERSITY
- MAYNOOTH UNIVERSITY
- National Renewable Energy Laboratory NREL
- National Research Council Canada
- New York University
- Swinburne University of Technology
- The University of Arizona
- Tilburg University
- Universidade de Coimbra
- University of Oxford;
- ;
- Auburn University
- Durham University
- FLINDERS UNIVERSITY
- Flinders University
- Indiana University
- Loyola University
- Manaaki Whenua
- Maynooth University
- Nanyang Technological University
- Northeastern University
- Northern Alberta Institute of Technology
- Pennsylvania State University
- Princeton University
- Queensland University of Technology
- The University of Auckland
- University of California, San Francisco
- University of Central Missouri
- University of Denver
- University of Kentucky
- University of Michigan
- University of Minnesota
- University of Oklahoma
- University of Oxford
- University of Pennsylvania
- University of Tennessee, Knoxville
- University of Texas at Dallas
- University of Utah
- University of Washington
- Virginia Tech
- York St John University
- 38 more »
- « less
-
Field
-
, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
-
Applied statistics Network routing Agent-based simulation Behavioral economics Game theory Decision theory Machine learning Artificial intelligence Where will I be located? Both local and remote
-
Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
-
are shortlisted. To learn more about the Institute for Health and Care Improvement and the Health and Care Research and Evaluation Service, please visit: yorksj.ac.uk/ihci For informal enquiries please contact
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
-
National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 15 hours ago
to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
-
Commons is the campus centerpiece for collaborative teaching, learning, and engagement. The University of Denver Libraries are central to discovery and creative interaction among students and faculty, and
-
. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior
-
Involvement and Engagement (PPIE) Lead. The project addresses the growing demands on glaucoma care by developing an AI-enabled triage platform that integrates retinal imaging, clinical data, and machine