Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
transport modeling and machine protection strategies for the EIC accelerator complex. This position will focus on Monte Carlo simulations to characterize the radiation environment resulting from beam losses
-
, and Abilities: Experience with neutron or x-ray scattering from single crystals Experience with characterizing magnetic and structural dynamics using neutron scattering Modeling neutron scattering from
-
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
-
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
-
, 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
-
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
-
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