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Field
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials requiring personal
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understanding of the mathematics of neural networks. Prior significant contributions to advanced machine-learning or deep-learning models. Evidence of having led a key research project, indicated by a first
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Requisition Id 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and
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cell killing assays of cancer cells to evaluate the efficacy of combination immunotherapy and radiation treatments. Performs in-vivo studies using metastatic cancer mouse models to evaluate the efficacy
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characterizations. 4. Completes CADD modeling studies. 5. Mentors undergraduates for synthesis, computation, and other areas of need. 6. Performs other related duties as assigned. Required Education & Experience
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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rodent models (mice and rats), as well as related experimental procedures. The work primarily involves animal behavior research to determine drug dosing and side-effect profiles. Prior experience in pain