27 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ruhr-Universität-Bochum" positions at Argonne
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
candidate will participate in RNA project for structural characterization of RNA by SAXS, x-ray crystallography, and Cryo-EM. The main role for the project is to produce RNA samples in large scale by using in
-
and simulation of the electronic structure of polycrystalline and defective two-dimensional materials. Interviews will begin immediately and continue until the position is filled. This position centers
-
models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods
-
imaging and spectroscopy modalities Ultrafast and in situ/operando techniques Advanced detector technologies and correlative approaches that reveal structure–function relationships Contribute to and enhance
-
optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
-
/ML model development to design and discover redox-active materials with tunable properties (structure, charge state, etc.) Discovery of novel materials for energy storage and conversion and their
-
phonons, magnons, and other emergent quasiparticles. The successful candidate will lead time-resolved X-ray diffraction experiments to reveal structural and electronic dynamics in condensed matter systems
-
and unravel structure-function relationships. This position is suited for a highly energetic and self-driven researcher willing to work in highly collaborative teams. This position will involve a
-
for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
-
: - Comprehensive understanding of applied computational materials science, including electronic structure methods and molecular dynamics. - Experience with High-Performance Computing (HPC) systems and intelligent