Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
Apply Now Job ID JR101887Date posted 07/10/2025 Reporting to the ITD Applications department manager, this position works with multiple software development teams, which support a portfolio of local
-
. 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
-
least 6 years of relevant experience post-Ph.D. Demonstrated ability as a principal investigator to lead research, balancing multiple projects and personnel. Demonstrated ability to lead and contribute
-
assignments. Handle multiple and parallel projects and independently prioritize work assignments. Ability to obtain and retain Property Management Certifications. Preferred Knowledge, Skills, and Abilities