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or Strategy with expertise in causal inference, econometrics, experimental design, industrial organization, or applied microeconomics. Experience with field experiments, quasi-experimental methods, and
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/deployment. Causal Inference/Experimentation: Knowledge of experimental design, randomization, and causal identification methods. There are no teaching requirements for these open positions. Basic
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PhD Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. Excellent communication and
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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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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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competence in statistical theory and methods. Such competence can be documented by graduate-level coursework in probability and statistical inference, a statistics-focused Master’s thesis, or relevant
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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Posting Details Position Details Title Postdoctoral Research Fellow Appointment Status Non-Tenure Track Department IU Bloomington Biology Location Bloomington Position Summary The department
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computational research skills in one of the following areas: Economics: PhD in Economics or Strategy with expertise in causal inference, econometrics, experimental design, industrial organization, or applied
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through forward modelling of simulation data using coronal lines, individual or statistical studies of waves in the solar atmosphere through observations, applications of Bayesian statistics to solar data