4 machine-learning-phd positions at Charles University, Faculty of Mathematics and Physics in Czech
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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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, 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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laws. Qualifications Requirements: PhD in economic geography or a related field (e.g., sociology). Excellent ability to conduct qualitative research in Czech language, especially through interviews with
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about our research, see http://kam.mff.cuni.cz/ . Informal inquiries are welcome and may be sent to Milan Hladík . A successful candidate is expected to pursue an active research program, teach