67 Engineering-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Argonne
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
High Energy Physics Division, the successful candidate will contribute to the design, fabrication, and characterization of superconducting devices based on microstrip-coupled TES technology, with
-
The Chemical Sciences and Engineering Division seeks a Postdoctoral Appointee to conduct research focused on the development of long-life, high-density cathode materials for electrochemical energy
-
from various scientific backgrounds (Physics, Chemistry, Materials Science, Geoscience, and Engineering, etc.) will be considered. Recent or soon-to-be completed PhD (within the last 0-5 years) in
-
from various scientific backgrounds (Physics, Chemistry, Materials Science, Geoscience, and Engineering, etc.) will be considered. Recent or soon-to-be completed PhD (within the last 0-5 years) in
-
-based experiments, including accelerating gradient tests and breakdown studies of accelerating components. Collaborate with the APS/ASD mechanical engineering group on the fabrication of accelerator
-
Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related
-
materials science, chemical engineering, or a related field, along with 3–6 years of postdoctoral research experience A strong understanding of nanomaterials synthesis and/or in situ/operando x-ray
-
in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
-
or biological systems. The candidate will work in a multidisciplinary team, including physicists, biologists, and engineers, and will lead the effort in multimodal data analysis at the APS beamlines. May be
-
Science, Chemistry, Chemical Engineering, Electrical Engineering, Computer Science, Physics, or a related field Demonstrated proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow