136 verification-computer-science-"Multiple"-"Embry-Riddle-Aeronautical-University" positions at Brookhaven Lab
Sort by
Refine Your Search
-
safety training (30 or 40-hour certification). New York State Department of Health backflow testing license. Experience using a maintenance management system or CMMS program to issue and track work orders
-
safety training (30 or 40-hour certification). New York State Department of Health backflow testing license. Experience using a maintenance management system or CMMS program to issue and track work orders
-
to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC
-
are conducted in compliance with BSA’s Prime Contract, applicable statutes and regulations, and in accordance with the highest ethics and standards. Oversight of BNL Property Management Program to effectively
-
materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
-
responsible for the Instrumentation Department, the Accelerator Science and Technology Department, and two new departments which will comprise the microelectronics and quantum information science and technology
-
Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes
-
simulation, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
-
documents. Ability to sufficiently write/complete work orders and other required documents. Ability to communicate verbally with customers, fellow workers and supervisors Possess basic computer skills. Must
-
candidates should have a major in electrical engineering, computer science, or applied mathematics. A background in electric power systems modeling and simulation and data analytics and machine learning