Sort by
Refine Your Search
-
applying machine learning for materials and/or process discovery, particularly quantum and/or microelectronic materials Expertise in using or developing agentic tools for automation of scientific discovery
-
). On-sensor data processing demonstration with hardware prototypes. Potential involvement in beam tests or radiation-source laboratory setups. Basic Qualifications: Ph.D. in Physics, Electrical Engineering
-
Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
-
in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
-
Computational/theoretical chemistry and/or physics, chemical engineering, materials or a closely related field completed within the last 5 years. Preferred Qualifications: Experience with coding, electronic
-
, radiological health, medical physics, nuclear engineering, applied mathematics or a closely related discipline) Sound foundation in radiation transport, behavior of radionuclides in biological systems, and/or
-
Resources, Engineering, Physics, Environmental Science, or related discipline completed within the last 5 years. Preferred Qualifications: Strong candidates will have depth in at least one and breadth across
-
, polymeric, or physical chemist with expertise in electrode or electrolyte chemistry for development of new electrode or electrolyte systems for battery applications. The primary focus will be on synthesis and
-
implementation on hybrid quantum-classical hardware, and collaboration with a multidisciplinary team of researchers in quantum computing and computational condensed matter physics. The ideal candidate will have a
-
challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing