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to automate, accelerate and improve decision making. Analysing graph data requires solving problems at the boundaries of machine learning, graph theory, and algorithmics. Your future tasks: You actively
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at the boundaries of machine learning, graph theory, and algorithmics. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects in
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theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent command of English Ability to work in a team Desireable
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Responsibilities Writing a dissertation in the field of Educational Theory and School Research Collaboration in the university research focus area „Heterogeneity and Cohesion“ Contribution to research projects with
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(Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your
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(Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your
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teaching tax policy topics. Through its activities, it positions itself as a global institution providing the missing nexus between theory and practice in approaching tax policy topics. The Center combines
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of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https
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scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your