Sort by
Refine Your Search
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
-
Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
both within and outside the laboratory. Preferred Knowledge, Skills, and Experience Hands-on experience with liquid transmission electron microscopy (TEM). Knowledge of electrocatalysis, especially CO₂RR
-
the Center for Nanoscale Materials (CNM) and Material Science Division (MSD) at Argonne. Position Requirements Required skills, knowledge and abilities: Ph.D. (completed within the last 0-5 years
-
field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
-
will require working on-site in Lemont, Illinois, 5 days a week Position Requirements Required skills, knowledge and experience: A recent or soon to be completed PhD within the last 0-5 years Molecular
-
thin-film growth and characterization (oxides preferred), using sputtering (preferred), PLD, or MBE. Familiarity with synchrotron-based X-ray techniques and electron microscopy Knowledge of quantum
-
pressure diamond anvil cell technology. Excellent oral and written communication skills. Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Preferred Knowledge, Skills
-
using Python, MATLAB, or equivalent programming languages. Preferred Qualifications • Working knowledge of X-ray optics, detector systems, and beamline instrumentation. • Background knowledge in ultrafast
-
, networking, and leadership. Position Requirements This level of knowledge is typically achieved through a formal education in economics, operations research, public policy, environmental science, engineering
-
communication skills, and ability to interact with people at all levels both within and outside the laboratory. Preferred Knowledge, Skills, and Experience: Experience with scientific AI techniques like Physics