-
of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing approaches for scientific applications
-
, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
-
other software tools Develop, test and implement data pipelines Required Knowledge, Skills, and Abilities: Required PhD in geosciences, computer science, engineering or related field Proven research
-
written and oral communication skills, be self-motivated and able to work independently. *Trained as a theorist in either condensed matter physics or quantum information theory. *Able to work closely and
-
beyond the department on new potential collaborations. Required Knowledge, Skills, and Abilities: PhD in nuclear engineering, experimental or theoretical low-energy nuclear physics or applied mathematics
-
or related discipline is required within the last 5 years. *Candidates must have excellent written and oral communication skills, be self-motivated and able to work both independently and as a part of a team
-
like electric field, magnetic field, etc... * Collaborate with team members and users in order to achieve high-impact research works. Required Knowledge, Skills, and Abilities: * PhD. in Physics
-
policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D