Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
on well-identified frames), validated models in operational conditions (New models based on real in-situ observations and mechanism). Microstructure manipulation for tailoring macroscopic response: Toughing
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, Argus will collect 1014 photometric measurements of 107 stars. This role will work as part of a collaborative and multidisciplinary team to develop software for data analysis, monitoring, and science
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
, Argus will collect 1014 photometric measurements of 107 stars. This role will work as part of a collaborative and multidisciplinary team to develop software for data analysis, monitoring, and science
-
at single-cell scale in microfluidics-based soil chips, in different conditions, representing those encountered in real soils. The postdoc will collaborate with other participants within the project
-
on well-identified frames), validated models in operational conditions (New models based on real in-situ observations and mechanism). Microstructure manipulation for tailoring macroscopic response: Toughing
-
absorption. In particular, its estimation is essential for monitoring the vegetation's health and water status, and thus making decisions on irrigation scheduling and optimal application rates that, on one
-
of nerve and spine injuries Collaborate with team members to analyze and integrate different kinds of transcriptomics, epigenomics, and proteomics data. Engage in collaborative projects within the lab and
-
thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
-
Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
-
Use soil and canopy sensors to monitor soil, water and nutrient status, plant growth, flowering, yield and microclimate modifications Maintain and calibrate laboratory and environmental stress field