Sort by
Refine Your Search
-
in computational science, machine learning, and experience with synchrotron data analysis are strongly encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
-
characterization (e.g., XAS, XPS, Raman, DEMS) Proficiency in data analysis; familiarity with modeling or data science tools is a plus Excellent written and oral communication skills and the ability to work
-
contribute to open-source code repositories and documentation. Position Requirements Required skills, knowledge and qualifications: PhD in physical oceanography, coastal engineering, computational science
-
artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard Model measurements, and searches
-
challenges, develop innovative solutions, and implement practical strategies. Strong interpersonal, written, and oral communication skills. Experience with molten salt systems, actinide chemistry, or materials
-
, computational science, a physical science, or engineering or related field. Comprehensive experience programming in one or more programming languages such as Python, C/C++. Experience with one of the AI
-
Argonne’s Nanoscience and Technology Division seeks a postdoctoral scientist to advance transmission electron microscopy (TEM) studies of materials and interfaces relevant to microelectronics
-
(CO2) conversion processes and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will contribute
-
, written, and oral communication skills. Experience with molten salt systems, actinide chemistry, or electrochemistry is desired, but not mandatory. Experience working safely with hazardous materials in
-
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