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Field
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with C++. Demonstrated experience with Python. Thorough understanding of object-oriented programming concepts, data structures/design patterns/algorithm performance analysis. Understanding
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computing. Research Areas The postdoc will contribute to ongoing and new projects that may include: Quantum algorithms for simulating many-body nuclear systems and neutrino dynamics Qutrit-based and hybrid
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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, algorithms, and computational models that support and enhance research objectives. Mentor and Train Research Personnel: Provide guidance and instruction to graduate students and, when applicable, other
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; decision-making; and management of natural resources. • Developing appropriate statistical algorithms for updating model parameter estimates. • Analyzing data and producing interactive graphical
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. Collaborate with JGI scientists and researchers across Berkeley Lab, including the Computational Research Division, to evaluate and implement new methods and algorithms that enhance system capabilities 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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, implements, and maintains data collection systems and strategies. 3. Performs statistical analysis and apply data mining techniques. 4. Develops algorithms and design experiments to merge, manage, interrogate
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, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. Assist with
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. Collaborate with JGI scientists and researchers across Berkeley Lab, including the Computational Research Division, to evaluate and implement new methods and algorithms that enhance system capabilities and