Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- LINGNAN UNIVERSITY
- UNIVERSITY OF SYDNEY
- ;
- ADELAIDE UNIVERSITY
- Dalhousie University
- Harvard University
- King's College London
- NTNU Norwegian University of Science and Technology
- The Cyprus Institute
- Universidade do Minho
- University of Texas at Austin
- University of Turku
- Yale University
- Zintellect
- 6 more »
- « less
-
Field
-
of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging
-
/exosomes. Advanced cell culture, molecular biology and imaging approaches will be combined to study cellular responses and mechanisms relevant to oral disease and regenerative medicine. The overall aim is to
-
responsibility for courses covering the fundamentals of environmental remote sensing, remote sensing methods, geospatial data analysis, and image processing. Supervising practical exercises and projects involving
-
Preferred Qualifications: Field experience with drone surveys Experience with processing drone survey data and construction of digital surface models Experience with use of Agisoft Megashape software
-
the project will be the investigation of cellular communication through secretomics analyses, including extracellular vesicles/exosomes. Advanced cell culture, molecular biology and imaging approaches
-
/Microwave or Digital Signal Processing (DSP) is preferred. Has solid knowledge of electronics, including circuit design, PCB layout, and hardware troubleshooting. Has relevant competence in the areas of Radio
-
, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not
-
on extending interoperability for Digital Twins in process control and implementing prototype solutions for piloting in real-world industrial environments. Visit the AU website to learn more about this research
-
a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
-
31, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB