Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oslo
- Harvard University
- Zintellect
- Brunel University
- City of Hope
- INESC ID
- INESC TEC
- Johns Hopkins University
- King's College London
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- National Research Council Canada
- Philipps-Universität Marburg
- UCL;
- University of Bergen
- University of Birmingham
- University of Porto
- University of the West of England
- 9 more »
- « less
-
Field
-
, contributing method development knowledge to the field. Deploy dynamic oral processing simulation platforms, including tribology, Kramer shear cell testing, and mastication simulators to investigate breakdown
-
patient care, caregiver workload reduction, care automation and assistive technologies. Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation
-
transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation. Develop and execute healthcare innovation projects by conducting experiments
-
latency reductions are not sufficient due to physical as well as resource limitations. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked
-
students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept cookie and refresh
-
workload reduction, care-process redesign, adoption planning and care automation support. Support healthcare innovation projects by coordinating user feedback, pilot planning, implementation activities, data
-
or health sciences degrees, if they can demonstrate experience with the use of qualitative social science methods at the master’s level. Previous experience from and knowledge of India is an advantage
-
distances is far beyond our technical capabilities today. Even the developments in 5G and beyond networks that specifically target significant latency reductions are not sufficient due to physical as