Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Examples of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world
-
knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
-
field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
-
techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems), Computer Science (Efficient Algorithms and High-Performance Computing), and Physics (Image