Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
detection and isolation when required. Research Objectives The successful PhD candidate will work on: Data-driven nonlinear control under uncertainty Developing control strategies based on practical feedback
-
Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 15 days ago
or adverse events in rare disease populations due to limited data and low event frequencies. Frequentist methods often lack sufficient power to detect safety signals in these scenarios. Bayesian methods offer
-
to maintain high label efficiency in non-stationary environments, supported by reproducible benchmarks and principled evaluation protocols. Key Objectives O1: Drift-aware querying: Develop acquisition functions
-
area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
-
models) to test the emergence (initial radiation) and canalization of morphologies observed today throughout primate phylogenetic history, including fossil evidence. Objectives To implement a study of
-
, discretion, creativity, and analytical thinking. Contributes to development and evaluation of goals and objectives. Creates solutions to ensure legal and policy compliance. May independently manage or
-
energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art
-
magnetosphere space is a harsh radiation rich environment and objects are bombarded by hydrogen ions and UV radiation from the Sun’s solar wind as well as galactic cosmic rays and micrometeorite impacts
-
integrate sophisticated AI systems, rigorously testing, validating, and tracking learning models, and troubleshooting issues to ensure system accuracy and reliability. A core objective of this role is to
-
to detect unknown signals from gravitational-wave observatories across planet Earth. References Comley, Joshua W. and D.L. Dowe (2003). General Bayesian Networks and Asymmetric Languages, Proc. 2nd Hawaii