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24.09.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, invites applications for a fully funded PhD position at the Technical University of Munich
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of Reactivity and Solid Chemistry (LRCS) as part of the FTJ Basecamp 10kWh Project. The thesis aims to develop a comprehensive and robust solution for battery diagnostics and assessment, drawing on several
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- QKD, under the scope of a term contract, with a termination date undetermined, overseen by Portuguese Labour Code. Job description: Development of scientific research activities within the research
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PhD Program – Understanding core competencies and mechanisms in the development and prevention of problem behaviour and poor mental health in the adolescent and early adult years Job No.: 680087
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballot using the STV method. Our first point of
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI
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: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when
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, international team with flexible work organization and support of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and
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process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms