60 operations-"https:"-"https:"-"https:"-"FEMTO-ST" Postdoctoral positions at Argonne
Sort by
Refine Your Search
-
experiments and to develop reinforcement learning approaches that improve qubit performance and operation. This work will leverage CNM’s state-of-the-art facilities and capabilities, including the CNM cleanroom
-
performance of materials under extreme conditions. The candidate will work with a multidisciplinary team to develop models in the MOOSE multiphysics finite element framework. These models will include
-
unconventional sources. The successful candidate will work on a project focused on integrating selective heating with continuous hydrometallurgical processing, for recovery of critical materials relevant to energy
-
options for UNF and related separations flowsheets, with an emphasis on hands-on experimental work in radiochemistry laboratory environments. Responsibilities include designing, building, modifying, and
-
at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
-
unconventional sources. The successful candidate will work on continuous hydrometallurgical processing approaches for selective and efficient recovery of critical materials relevant to energy innovation
-
of critical materials from primary and secondary feedstocks. Responsibilities may include designing, constructing, and operating new experimental systems; supporting bench- and pilot-scale testing
-
research in electrochemical processing and functional coatings. The primary goal of this work is aimed at advancing material design and surface modification for the electrodeposition of hard-to-deposit
-
emphasize processing–microstructure–property-performance relationships under temperature, irradiation, corrosion, mechanical stress conditions. The successful candidate will integrate additive manufacturing
-
Postdoctoral Researcher in artificial intelligence and machine learning (AI/ML) for advanced tuning and diagnosis of particle accelerators. The Accelerator Operations and Physics (AOP) Group