16 finite-element-analysis Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI in computer-science
-
include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
-
publication requirement above. Demonstrate the ability to define and complete original research Possess strong programming, experimental, and quantitative-analysis skills. Have experience designing reproducible
-
political communication and public opinion Social and behavioral effects of generative AI Computational analysis of digital and scientific ecosystems Human-centered evaluation of AI systems Reproducible
-
, platform audits, computational analyses, online or field experiments, or formal models, as appropriate to the question; Build reproducible data-collection and analysis pipelines and document methods, code
-
or quantitative methods. We are open to a range of methodological backgrounds, including digital trace data analysis, natural language processing, machine learning, experimental design, causal inference, and
-
and biophysics, good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is highly desired. Experience in molecular simulation softwares and analysis tools such as
-
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations
-
Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
-
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
-
crystallography, specifically in the structure solution and refinement of small molecule crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based