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Field
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cutting-edge research and work closely with experienced professionals in the field. Duties and Responsibilities · Assist in data collection and preprocessing · Implement machine learning algorithms
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computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary research environments. Strong oral
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Apply Now Job ID JR101883Date posted 06/18/2025 The AI Department of Computational Data Science (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply
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. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts
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. Strong applied knowledge of classical machine learning algorithms, including implementation with scikit-learn, model evaluation using metrics such as accuracy, precision, recall, F1-score, and
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computational models, algorithms, or theory to probe the mechanisms of learning and memory. Ideal candidates will work across levels—from molecules and synapses to circuits and systems—and contribute
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the original audio tape. This process of verification occurs before the written text is used to train our augmented intelligence coding algorithms. De-identified transcripts and audio tapes will be accessed
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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on applications to complex, dynamic systems. Design and simulate feedback control algorithms for thermo-mechanical systems and related applications. Collaborate with faculty and student teams to support control
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Condensed Matter Physics and Materials Sciences o Theoretical and Computational Biophysics o Soft Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal Graph