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, in Electrical Engineering and Computer Science or related field obtained within the last five years. Experience with X-ray physics or optical wave modeling. Proficiency in programming with Python
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) or equivalent experience in a computational science discipline, computer science, or in a related field Strong programming skills in one or more scientific programming language, such as C++ and Python Experience
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field with an emphasis on biomedical image processing at the PhD level with zero to five years of employment experience. Hands-on experience with a tomography beamline is an asset. Expertise in Python
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in soil processes, plant physiology, plant traits, and species composition Strong data analysis skills, including proficiency in R or Python coding, and/or machine learning techniques Excellent writing
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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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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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, 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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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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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
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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