Sort by
Refine Your Search
-
topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
-
family of printable high-gauge factor wireless sensors by building and extending our related background intellectual property. Responsibilities : Collaborate with the development of a new family of RFID
-
We are seeking motivated researchers with expertise in large-area 2D materials growth for sensor and transistor applications. The focus is on developing wafer-scale 2D materials using CVD, PLD
-
and international network of leading scientists and practitioners, including Professors Christopher Golden (Harvard University), James Robinson (Lancaster University), and Christina Hicks (Lancaster
-
areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
-
integrated sensors, SHM/NDT/Inline/Online. The Composites Lab develops and authenticates techniques to achieve better designs of composite materialbased structures. Much of this research is done in close
-
variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline/Online. The Composites Lab develops and
-
mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
-
Materials Spectroscopy (SMS) Laboratory, http://spectroscopy.kaust.edu.sa Institution: Division of Physical Science & Engineering, King Abdullah University of Science and Technology (KAUST) Thuwal, Saudi
-
mentor graduate students when needed. Where to apply Website https://apply.interfolio.com/183329 Requirements Research FieldEngineering » Materials engineeringEducation LevelPhD or equivalent Research