Sort by
Refine Your Search
-
Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
-
learning (ML) to address future physics and detector challenges. Current physics interests include Standard Model measurements and searches for new phenomena. We welcome applicants who are excited
-
systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
-
reporting technical results. Strong analytical, problem-solving, written, oral, and interpersonal communication skills. Ability to work effectively in a multidisciplinary team environment and model Argonne’s
-
player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site presence at the Argonne campus in Lemont
-
to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires on-site presence five days a week at the Argonne campus in Lemont, Illinois. Job Family Postdoctoral
-
communication Ability to work effectively as part of an interdisciplinary team Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Additional Information While these are not
-
to independently plan and execute experimental research Strong written and verbal communication skills Ability to work effectively in a collaborative, multidisciplinary research environment Ability to model
-
successful candidate will conduct research focused on meso- and macroscale mathematical modeling of next-generation batteries, while leveraging advanced artificial intelligence (AI) tools to accelerate
-
that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational