14 solid-mechanics Postdoctoral positions at Iowa State University in Ireland-University-Ranking-2024
Sort by
Refine Your Search
-
identify which physical mechanisms – surface and interface spins, magnetic defects, two-level systems, trapped flux and vortex motion, and nonequilibrium quasiparticles – generate the 1/f flux and charge
-
of advanced solid-state nuclear magnetic resonance (NMR) spectroscopy methods for the structural characterization of pharmaceutical solids and related materials. Research activities will focus on obtaining
-
Research Associate to conduct experimental research in rare earth metallization, critical materials synthesis, materials processing, characterization, extraction, and recycling. The successful candidate will
-
. The research will emphasize synthesizing and characterizing various porous materials. The project further emphasizes mechanistic and kinetic studies for processes occurring at the reactive solid-liquid interface
-
. Required Minimum Qualifications: Ph.D. in condensed matter physics, solid-state chemistry, materials science, or related field Preferred Qualifications: Ph.D. in condensed matter physics, solid-state
-
, Electrical Engineering, Mechanical Engineering, or related disciplines. Preferred Qualifications: Demonstrated expertise in one or more of the following areas: Plasma physics and plasma chemistry Reaction
-
, Electrical Engineering, Mechanical Engineering, or related disciplines. Preferred Qualifications: Demonstrated expertise in one or more of the following areas: Plasma physics and plasma chemistry Reaction
-
selected magnetic quantum materials. The central research goal is to develop and employ advanced magneto-sensing approaches to identify the mechanisms that cause dissipation and decoherence in
-
to understand the molecular mechanisms of life. Our department features research programs in a broad range of disciplines. Specifically, we have strengths in structural biology and biophysics, plant biochemistry
-
, transcriptomic, and proteomic datasets to uncover biological mechanisms and generate novel research insights. The successful candidate will apply bioinformatics and statistical approaches to analyze high