Sort by
Refine Your Search
-
Category
-
Field
-
interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others. Position Description The successful candidate will be expected to conduct
-
Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
-
to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and
-
collaboration to develop software that integrates advanced algorithms into experimental workflows, implement services for experiment control, and deploy AI tools alongside large-scale scientific infrastructure
-
develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project reports, presentations, and other related media. Work in interdisciplinary collaborations with
-
will be part of a team that already uses machine learning to improve online accelerator models and that develops correction algorithms for accelerator operations. This position is for a 2-year research
-
Architectures and Algorithms, Extreme Scalability, Knowledge Discovery, Cybersecurity, and Energy. Work with the Laboratory Director and Leadership Team to identify and implement strategic research opportunities
-
with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project
-
, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and security areas
-
. Implement, adapt, and evaluate ML and NLP algorithms for scientific applications. Work in interdisciplinary teams with subject matter experts from various domain sciences. Communicate research progress