14 multi-core Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
Sort by
Refine Your Search
-
Listed
-
Field
-
performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal
-
Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data
-
and multi-scale experimental testing at the material, component, and structural levels. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate
-
of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
-
data Exposure to decision-making, multi-objective optimization, or declarative problem modeling Prior involvement in open-source or reproducible systems research Interest in interdisciplinary
-
; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates
-
, etc.) Experience working with probabilistic databases, provenance, or uncertain data Exposure to decision-making, multi-objective optimization, or declarative problem modeling Prior involvement in open
-
on safety, cooperation, and efficiency in human-robot teams. Multi-Modal ML: Expertise in working with diverse data types, such as vision, speech, images, and physiological signals. Experience integrating
-
of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
-
performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal