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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation, regression, maximum entropy models). Where to apply
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: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation
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