32 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Brookhaven National Laboratory
Sort by
Refine Your Search
-
systems process analysis. Required Knowledge, Skills, and Abilities: Candidates must be majoring in one of the following: Business/Finance, Computer Sciences, Math, Economics or Accounting. The ideal
-
on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
-
veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National
-
. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S
-
veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National
-
and to develop novel and improved platforms for quantum computation and communication and thus strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing
-
, have the desire and ability to learn new systems, make informed decisions and regularly exercise a high degree of discretion and judgment. Additional Information: This is a fully onsite position located
-
of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
-
reactivity under realistic conditions. A central aspect of the role is the derivation of interpretable descriptors from electronic structure calculations and the application of machine-learning methods (e.g
-
. The mission is to address challenges facing scalable quantum computing and to develop novel and improved platforms for quantum computation and communication and thus strengthen U.S. leadership in QIST