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, safety, respect, integrity, and teamwork. Preferred Knowledge, Skills, and Experience Basic knowledge of a programming language. Experience with surface science sample preparation techniques. Experience
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The Applied Materials Division at Argonne National Laboratory has an immediate opening for a Postdoctoral Appointee. The successful candidate will be engaged in programs that require expertise in
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) Demonstrated knowledge of and experience in general analytical methods and practices Experience in programming for data analysis Excellent oral and written communication skills Demonstrated creative and
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and machine learning techniques in analyzing supply chain risk. Ability to develop and synthesize visualizations to effectively communicate analysis results. Strong programming skills in statistical
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with modern scientific programming languages like Python and Julia. Ability to integrate diverse knowledge, methods, and perspectives to drive analysis and innovation. Ability to lead research projects
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Julia, Python, R, or other scientific programming languages. Experience developing software packages, tools, and data sets for public use. Ability to synthesize effective data visualizations
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and written communication skills. The ability to work in a dynamic, interdisciplinary team. Programming expertise in Java, C++, Python, or R. Experiences with large databases and data manipulation tools
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required; received within the last 3 years or upcoming year Basic familiarity with scripting or programming to work with and analyze data. Ability to model Argonne’s core values of impact, safety, respect
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, you must have obtained your PhD in computer science or engineering, the physical sciences, or a related field within the last three years. Comprehensive programming proficiency, preferably in Python
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at the Center for Nanoscale Materials at Argonne National Laboratory. The focus of this program is to develop and understand optically-active spins in defects and dopants at or near surfaces. We will utilize