139 machine-learning-and-image-processing-"RMIT-University" positions at Brookhaven Lab
Sort by
Refine Your Search
-
your application. Reference letters may be requested via an electronic submission process as your candidacy is considered. The position is currently limited to 2 years and may be renewed for one more
-
at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity
-
any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images
-
. They work in close collaboration with business partners and application stakeholders. Essential Duties and Responsibilities: Maintain a continuous learning mindset while guiding the team in applying Agile
-
(deployment, monitoring, resource scheduling, etc.) and in defining the facility evolution to support massive data processing and computing needs. This position has a high level of interaction with
-
at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity
-
. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
-
computer/keyboard for extended periods is essential. Ability to concentrate on accuracy. Compensation: Brookhaven Laboratory is committed to providing fair, equitable, and competitive compensation. The full
-
issues. Position Description The position will support the operation and continued development of a center for high throughput x-ray crystallographic fragment screening (XCFS). The successful candidate
-
world-class program that advances the state of the art in artificial intelligence, high performance computing, applied mathematics, computer and computational sciences. BNL's distinctive domain science