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The Chemical Sciences and Engineering Division is seeking a Postdoctoral Appointee, who under the guidance of a supervisor, conducts research on mathematical modeling of solid-state batteries
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experience Hardware experience, especially with silicon detectors, is desirable Good general knowledge of current high-energy physics and mathematical methods for physics applications is required Good
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Requirements Required skills, knowledge and qualifications: Ph.D. (completed within the last 0-5 years, or to be awarded by the start of the appointment) in applied mathematics, physics, chemistry, computer
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mechanical/aerospace/industrial engineering, applied mathematics, chemical engineering, or a related discipline earned no more than 3 years ago is required. Experience in modeling and simulation of three
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Completed or soon-to-be completed PhD (within the last 0-5 years) in Computer Science, Physics, Mathematics, or related field Experience with modeling complex systems or natural language processing
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In this position, you will characterize and analyze the behavior of nuclear fuels and structural materials used in current- and next-generation nuclear energy systems and research reactors. You will develop correlations to describe the characteristics of materials and models to describe their...
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qualifications: Ph.D. (completed within the last 0-5 years) in applied mathematics, physics, chemistry, computer science, or similar fields. Experience contributing to scientific software in C++, Python
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mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related discipline. Knowledge of multi-dimensional code development for CFD and parallel scientific computing is required
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The Electrochemical Materials & Interfaces Group with Argonne's Materials Science Division is seeking a Postdoctoral Appointee. The purpose of this appointment is experimental studies on metal deposition (Li, Na, Zn) and the synthesis and characterization of composite polymer electrolytes and...
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of and experimental expertise in catalyst-material characterization techniques. Familiarity with mathematical and computational modeling, and competence in a scientific programming language (e.g