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by combinatorial methods. Applications are invited from candidates who have completed their PhD within the last 4 years (or will have completed it before the time of hiring) and who have strong
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, computer science, and optimization (including machine learning) are welcome, preferably with experience in algorithmic game theory, decision theory, computational social choice, social welfare, and fairness
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of non-native species in forests, economic optimization of forest biosecurity, and the global impacts of invasions on global forest ecosystem processes. We encourage applications from candidates of all
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strategies — developing systems that can respond dynamically to neural and behavioral signals in real time. Your Role: Develop and evaluate new methods for optimizing DBS therapy — from imaging and modeling