Sort by
Refine Your Search
-
beam pulsers. Position Requirements Ph.D. in Materials Science, Physics, Chemistry, or a related field Extensive expertise in aberration-corrected scanning transmission electron microscopy (STEM
-
-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
-
The recent upgrade of the Advanced Photon Source has introduced the world’s brightest synchrotron x-ray source. The X-ray Science Division (XSD) at Argonne National Laboratory invites applications
-
. These instruments and techniques support APS user programs and beamline scientists working in materials science, geology, and biology. The brain is among the most complex structures known, containing over 89 billion
-
completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
-
. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
-
partner organizations. ESRA targets the fundamental science of beyond-Li-ion energy storage technologies with the aim to improve their capacity, durability, and sustainability. ESRA has an immediate opening
-
The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods
-
computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific