Sort by
Refine Your Search
-
, the Center for Functional Nano Materials, and the Atmospheric Radiation Measurement program. As a result, we have a lively, fast-growing data science research program at BNL, explicitly focusing
-
to work from schematics, diagrams, and written procedures. Basic computer operating skills. Effective interpersonal skills with the ability to interact with a diverse group of technical staff. Preferred
-
sciences, and nanoscience. To support this program, the NSLSII must design, fabricate, assemble, test, install, and operate unique research equipment to generate, transport, transfer, accelerate and focus
-
the Atlas experiment at CERN (Switzerland), the Belle II experiment in Japan, and the Atmospheric Radiation Measurement program. Due to BNL’s fast-growing data science research programs, the SDCC is a lively
-
Environmental, Health & Safety Requirements: The ability to work at a computer/keyboard for extended periods is essential Ability to concentrate on accuracy Other Information: This is an onsite position located
-
on computational materials science and machine learning applications, with an emphasis on strongly correlated condensed matter systems. This position will be for 3 months Essential Duties and Responsibilities
-
Apply Now Job ID JR101954Date posted 08/12/2025 Serves as a subject matter expert responsible for developing, implementing, and managing a Controlled Unclassified Information (CUI) program in
-
of devices and circuit components - Contribute to design of ASIC within the scope of cryogenic operation Required knowledge, skills, and abilities: Requires a bachelor's degree in an engineering discipline or
-
The Data Science and System Integration (DSSI) Division of the National Synchrotron Light Source II (NSLS-II) is responsible for ensuring reliable controls and data infrastructure enabling users
-
the operation, software, and computing of the ATLAS experiment. Required Knowledge, Skills, and Abilities: Ph.D. in experimental particle or nuclear physics or related field. Experience with data analysis and