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real-time simulation platforms. Knowledge with designing, modeling, or hardware prototyping of power electronic converters. Proficiency in Python and/or C. Ability to work both independently and
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analysis of transmission systems (steady state and dynamics). Mostly using PSS/E python interface. Develop, implement and validate state and output feedback control. Additionally, candidates will: Give
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, Python, R, Java, or other scientific programming languages. Experience working with life cycle assessment tools such as GREET®, OpenLCA, SimaPro®, GaBi®, or similar. Skilled oral and written communication
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your PhD in computer science or engineering, the physical sciences, or a related field within the last five years. Comprehensive programming proficiency, preferably in Python. Experience with machine
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based on point defect based spin color centers in diamond and silicon carbide. Desirable: Coding skills in python for analysis of scientific data. Familiarity with infrared laser heating systems
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programming (e.g., Excel VBA, Python, or MATLAB). Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is
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simulation (classical and ab-initio molecular dynamics, DFT, simulations) Proficiency in programming languages like Python, C++, or Fortran for custom analysis tools. Experience in developing workflows
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, computational science, a physical science, or engineering or related field. Comprehensive experience programming in one or more programming languages such as Python, C/C++. Experience with one of the AI
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large-scale data analysis. Proficiency in Python, C++, or similar languages. Ability to conduct independent research and collaborate in interdisciplinary teams. Ability to model Argonne's core values of
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energy physics, physics, and computational science Programming expertise in C/C++, Python, Fortran, or another scientific programming language Comprehensive knowledge of Input/Output and data persistence