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position from 01.10.2025 of a Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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electronic structure calculations, in particular DFT, as well as basic knowledge of group-theory, are essential. Familiarity with data mining and/ or high-throughput DFT calculations is desirable but not
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studies on chick embryos, investigating hypothalamic development. Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research seminars, including
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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is to perform studies on chick embryos, investigating hypothalamic development. Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research
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Job Description The postdoc scholar will participate in several research projects currently funded by the Pl. Including multi-center projects to develop various machine data mining models including