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Field
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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). The work offers opportunities to publish in high-ranking journals and conferences, collaborate with international academic and industry partners, and contribute to the development of open-source testing
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and access to the latest technologies Exciting opportunities for professional and personal development Safe and stable working environment Company pension funds We offer an annual gross salary
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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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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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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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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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intelligence. In these research areas we focus on 1) foundations, 2) system design, and 3) applications. IDLab collaborates with many universities and research centres worldwide and jointly develops advanced