Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
-
of the student will be the performance of power grid modeling and simulation, statistical analysis and machine learning applications in power system control or cybersecurity, and the implementation in Python and
-
Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes
-
, neutron source, or other major scientific facility. Experience in developing and deploying AI models. Demonstrated ability to collaborate on distributed software development teams. Experience with HTTP APIs
-
microscopy, modeling, materials theory, and nanofabrication. • You will carry out impactful nanomaterial research, publish papers, and give external presentations on your work. Position Requirements: • You
-
on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation
-
engineering tasks through modeling, analysis, creating specifications, arranging fabrication, and procurement with participation in assembly, tests, installation, and commissioning. Essential Duties and
-
engineering tasks through modeling, analysis, creating specifications, arranging fabrication, and procurement with participation in assembly, tests, installation, and commissioning. Essential Duties and
-
scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development and application of machine learning models, especially
-
foundational ML and NLP innovations. This work involves the development and applications of encoding and generative NLP models (e.g., large language models, LLMs), and includes model training, tuning and