Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, or a PhD in Computational Physics/Chemistry/Biology, Computer Science/Engineering, Applied Mathematics, or a related field with 2+ years of relevant research experience post PhD Established track
-
NSLS-II beamlines within and outside the Spectroscopy Program that offer complementary techniques or capabilities Required Knowledge, Skills, and Abilities: PhD. in Physics, Chemistry, Materials Science
-
National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
-
information at BNL | Benefits Program Position Description The AI Department within Brookhaven National Laboratory's Computing and Data Sciences Directorate invites exceptional candidates to apply
-
, assembled to address challenges facing scalable quantum computing and provide breakthroughs to strengthen U.S. leadership in QIST. The C2QA scientific mission is to deliver advances in materials science and
-
information at BNL | Benefits Program ORGANIZATION OVERVIEW The Condensed Matter Physics and Materials Science Division (CMPMSD) conducts a wide-ranging research program investigating novel and quantum
-
National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
-
information at BNL | Benefits Program Position Description The AI Department within Brookhaven National Laboratory's Computing and Data Sciences Directorate invites exceptional candidates to apply
-
) Program within the Physical Sciences & Research Operations Division offers cutting-edge capabilities for investigating and controlling the complex interplay of emergent quantum phenomena and novel
-
information at BNL | Benefits Program Researchers in the Biology Department at Brookhaven National Laboratory seek to unravel and fully describe the complexities of biological systems--from how plants build