Sort by
Refine Your Search
-
physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
-
interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others. Position Description The successful candidate will be expected to conduct
-
with detector R&D and/or construction Experience with computing and software development for high energy or nuclear physics experiments OTHER INFORMATION: Domestic and international travel should be
-
/electron/proton transfer reactions, charge mobilities, radical reactivity, molar absorptivity spectra, and more. This position is for a 2-year term. The work will be under the supervision of Dr. Matthew Bird
-
Requirements: Interaction with Hazardous Chemicals (NFPA Health Hazard 3 and 4-CMS Report) Will be expected to lift items at or less than 40lbs Exposure to static magnetic fields >5 gauss Additional Information
-
scattering. This work is to be done as a part of a BNL Laboratory Directed Research and Development (LDRD-B) project, focused on gathering experimental characterization of materials predicted to have non
-
quality single crystals of quantum materials and study them with transport and advanced electron microscopic methods. These experiments will be integrated in a dynamic team environment, including
-
by both collaborations. In addition, the successful candidate will be working closely with the EIC group for extending the study of Lambda hyperon polarization to the EIC, where works on EIC ep and/or
-
, the candidate will be expected to select and pursue target systems tailored to their own scientific interests and to work closely with NSLS-II staff in supporting user operations of the XCFS facility from
-
. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized