73 computer-engineer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Argonne
Sort by
Refine Your Search
-
The Chemical Sciences and Engineering Division at Argonne National Laboratory invites applications for a regular, full-time Assistant Computational Chemist / Chemical Engineer position
-
The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
-
camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
-
that values scientific rigor, collaboration, and professional development. Position Requirements Required Qualifications RD3: Ph.D. in computer science, electrical or computer engineering, physics
-
The Chemical Sciences and Engineering Division invites applications for a Postdoctoral Appointee to contribute to innovative research at the intersection of computational catalysis, quantum
-
The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee with expertise in radiochemistry, chemistry, chemical engineering, or a related field to support experimental
-
well as in industry and at other national laboratories. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years)in Engineering or similar program. At least 2
-
The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee to conduct research in chemical process engineering, separations, and process intensification for recovery
-
cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining
-
for predicting the reliability of high-temperature structural components. This involves working with various continuum damage mechanics models and statistical reliability models. The goal is to enhance engineering