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, optical or electrical engineering, or a related discipline. Expertise in optical fiber communications and sensing. Proficiency in Python, C/C++, or other language for data analysis or instrumentation
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. Strong programming skills. Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow. Preferred Qualifications: Expertise in vision transformer or large language model. Expertise in
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background in scientific data visualization, uncertainty quantification, AI/ML, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral communication
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results. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability
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and simulation tools, such as spreadsheet-based process cost modeling, input/output modeling, or commercially available life cycle analysis tools such as SimaPro and openLCA. Excellent written and oral communication
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environment, safety, health, and quality assurance requirements. Effectively communicate and collaborate with other technical staff and interface with staff outside of the home organization to meet research
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systems. Prepare schedules, cost estimates, status updates, and performance reports for responsible projects. Effectively communicate project outcomes to ORNL management and project sponsors, both internal
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. Experience with microwave electronics. Strong programming and data visualization skills. A strong record of productive and creative research Excellent written and oral communication skills Motivated self
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you are expected to publish new research in professional journals and to present your results to the scientific community at various conferences. With over 100 unique manufacturing systems at the MDF
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research scope and programmatic needs Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams