Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
., 2019; Pedersini et al., 2023). We combine ophthalmological, neuroimaging and behavioral data, and incorporate deep learning methods to facilitate biomarker discovery and enhance predictive power. As a
-
environment consisting of PhD scientists, graduate students, and undergraduate students. Applicants must have a PhD in chemistry or materials science. Excellent experimental and synthetic skills relevant
-
learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems
-
Post-Doctoral Associate in the Division of Social Science - Dr. Morgan Hardy and Dr. Veda Narasimhan
Description We are inviting applications for a Post-Doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in economics or a
-
inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
-
models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science
-
technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
-
soon receive a PhD in political science or a related discipline. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years. The post-doctoral
-
collaborators in material science. The developed technologies will be utilized to develop digital twin and soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and
-
flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in