Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
developed a dataset by conducting high-velocity impact experiments on CFRP specimens using controlled testing setups. The multimodal dataset is to be processed using X-ray CT scans, SEM imaging, and
-
. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
-
) to understand trade-offs in coordination, transport, and reuse performance under different scenarios. Develop a digital warehouse management system for reuse hubs: design and prototype a hub inventory system that
-
focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes
-
frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
-
analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
-
Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
: Specific skills include mouse injection, tissue isolation and processing, tumor implantation, T cell characterization, cell transfection, flow cytometry, ELISA, cellular and in vivo imaging Development
-
our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm. The ideal candidate will have a strong background in circuit design and
-
. Building on these insights, you will run one dimensional mixed layer models to test how different conditions regulate stratification and mixing, and compare modeled responses with observations to expose
-
with cutting-edge imaging technologies. Secondments: The project offers exciting opportunities for visiting research opportunities, allowing the candidate to gain experience across different institutions