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interpretability methods, causal inference, or multi-agent systems is advantageous but not required The successful candidate will have the unique opportunity to contribute to establishing a new research group on AI
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mathematics, biophysics, AI/machine learning, computational biology, computer science/engineering, statistical inference, or related fields are particularly encouraged to apply. POSITION DESCRIPTION Flatiron
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. Based on interests identified at the time of application, the fellow will be guided
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mathematics, biophysics, engineering, statistical inference, and related fields are particularly encouraged to apply. POSITION DESCRIPTION Flatiron Research Fellows in CCB are individuals at the postdoctoral
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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
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and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress that candidates with an excellent research track