Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
systems, cryptography, databases, distributed systems, game theory, graphs, knowledge representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social
-
timelines, etc.); identifies potential areas for improvement; and identifies gaps and evaluates solutions. Additionally, the position requires the ability to understand and apply health behavior theory
-
Predoctoral Research Specialist to support the research of Professors Victor Orestes, Parinitha Sastry, and Courtney Wiegand. Their research projects sit at the intersection of macro-finance theory and empirics
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
strong AI, i.e., AI systems that are grounded in human-curated domain knowledge such as natural laws, scientific theories, commonsense facts, and regulatory constraints. These systems have capabilities
-
systems, game theory, graphs, knowledge representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social choice, software engineering Deadline
-
: Mathematics, Data Science, Statistics, Graph Theory, Optimization, Stochastic Processes Appl Deadline: 2026/01/31 11:59PM (posted 2025/12/09, listed until 2026/01/31) Position Description: Apply Position
-
graph theory, complex dynamical systems, computational mathematics, data science, difference equations, financial mathematics, mathematical biology and modeling, numerical analysis, numerical linear
-
simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
-
optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and