Sort by
Refine Your Search
-
papers, and scientific conference presentations Ability to model Argonne’s core values: Impact, Safety, Respect, Integrity, and Teamwork. This level of knowledge is typically achieved through a formal
-
reporting, publications, and intellectual property generation. A successful candidate must model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Ability to work onsite at Argonne
-
of inorganic quantum materials Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory. Ability to model Argonne’s
-
laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and
-
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
-
and teamwork capabilities for working in multidisciplinary environments. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and
-
, and biological signals to construct coherent models of microbial organization across scales. Success in this role will require creativity in computational imaging, machine learning, and signal
-
, including preparation of technical documents and presentations Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with lithium-ion
-
fluorescence tomography at beamline 2-ID-E and 2-ID-D with focus on bioimaging of soil aggregates, as well as computational framework for modeling and reconstruction of related 3D datasets. The successful
-
the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific