36 programming-"Multiple"-"U"-"Humboldt-Stiftung-Foundation" "Prof" Postdoctoral positions at Argonne
Sort by
Refine Your Search
-
for developing new computational tools and AI/ML approaches to analyze and correlate data from multiple imaging modalities, including synchrotron tomography, x-ray fluorescence microscopy, visible light microscopy
-
open access of datasets. Key Responsibilities Develop and implement data management strategies to support research activities across multiple institutions. Collaborate with researchers to establish data
-
that can process and learn from multiple data streams in real-time is key to unlocking the full potential of such instruments. The postdoctoral appointee will be responsible for developing such methods
-
multiple groups within the X-ray Science Division, the Center for Nanoscale Materials and the Materials Science Division of Argonne. Position Requirements Ph.D. in material science and engineering, physics
-
analysis of (1) decarbonization pathways for energy- and emissions-intensive industries and (2) material circularity pathways in a low-carbon future. The candidate would conduct research across multiple DOE
-
by multiple orders-of-magnitude. This is an exciting opportunity to be at the forefront of using advanced computational methods and systems, including machine learning, to develop data and computing
-
to electrochemical issues from multiple areas of materials research including TM-oxides, TM-phosphates, composite materials. Skilled in oral and writing communication skills with a good record of publication and
-
We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
-
preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
-
is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and