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Field
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. Design, implement, and experimentally validate advanced learning and control strategies for power electronic converters and grid-interactive systems. Develop embedded control algorithms using DSP, FPGA
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advanced sensing and controls algorithms for manufacturing Communicate research results through presentations, reports, conference papers, and peer-reviewed journals Deliver ORNL’s mission by aligning
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central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED’s interdisciplinary projects. Working under the direction of the Principal Investigator (PI
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) Algorithms, Data Structures and Computational Thinking Mathematics for Computing and Data Science Database Systems and Big Data Technologies Software Engineering and System Architecture Cloud Computing and
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. They are able to lead efforts in a hands-on manner and mentor others in their work. They have deep technical (algorithmic methods, computational tools etc) expertise in multiple areas and able to force multiply
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-inspired, method-driven theory to application-driven research. Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 12 hours ago
preserving the algorithmic correctness of the transformed application with respect to the initial application, along all its operating configurations. The person recruited on this position will have the
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, optimizing, and validating existing workflows for routine seismic data processing. Beyond software development, the candidate will have opportunities to contribute to advanced AI algorithms and intelligent
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Strong skills in simulation methodologies Excellent communication and interpersonal skills Desirable Criteria: Familiarity with machine learning algorithms and artificial intelligence as applied
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programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning (ML@GT). Equal Employment