Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- University of Toronto
- University of Washington
- CEA
- Monash University
- National Aeronautics and Space Administration (NASA)
- University of Birmingham
- University of California
- University of California, San Diego
- University of Manchester
- University of New South Wales
- University of Oslo
- 2 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
system and its top-level science objectives, but there has not been as much focus on connecting science objectives directly to the developmentof an engineered system. Systems engineering practices
-
: Genetic and developmental mechanisms of cardiovascular disease. Goals: Discover causal variants, understand congenital heart disease, and advance pharmacogenomics. Heart Failure Focus: Mechanisms and
-
for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
-
experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
-
learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
-
strategies to mitigate impacts on adjacent waters. Research activities include: coordinating with multiple stakeholders and collaborators to define objectives and research questions; leading participatory co
-
and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total
-
learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
-
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
-
the research. Deal with problems that may affect the achievement of research objectives and deadlines. Promote equality and values diversity acting as a role model and fostering an inclusive working culture