Sort by
Refine Your Search
-
to work on various research projects on developing resilient and sustainable construction materials. The successful candidate will work on advancing the development and characterization of reactive
-
Description The Center for Smart Engineering Materials (CSEM), New York University Abu Dhabi,seeks to recruit a post-doctoral associate to work on the development, characterization, and applications
-
web and mobile development (e.g., HTML, JavaScript, React) Experience with Internet-of-Things (IoT), especially air quality sensor networks Data analysis and visualization skills (Python, R, Google
-
infection method (2) assess the impact of the virulent candidate Bt strains on RPW fitness and biology, such as growth and development, egg hatching, boring activity, and reproduction (3) identify and
-
the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering. The successful applicant will drive an exciting project on developing functional membrane
-
on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS
-
developing novel medical devices for ultimate human use. The successful applicant will perform both wet lab and bioinformatics analysis. For the wetlab work the applicant will: (i) perform rodent cranial
-
involved in the development of open-source tools and resources, and to work on publications related to their work. CAMeL's mission is research and education in artificial intelligence, specifically focusing
-
the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We
-
. The project activities will involve the development of the theory and implementation of the advanced mechanics and numerical models as well as constitutive model calibration and validation based on physical