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                information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction 
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                center, CRC 1719 ChemPrint “Next-generation printed semiconductors: Atomic-level engineering via molecular surface chemistry”. Your tasks Develop new approaches for electrodeposition of metals 
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                developments in MCF, component and subsystem design and implementation, and the practical engineering aspects of MCF-based systems and networks. With the collective expertise of all partners, MATCH stands as a 
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                ., KonsortSWD, NFDI), including working groups and collaborative initiatives. Your profile Completed PhD (or near completion) in a relevant field such as economics, statistics, data science, informatics, or 
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                Are you passionate about cutting-edge fundamental research on molecular and 2D materials heterostructures? Are you looking to pursue your PhD in an excellent, interdisciplinary research environment 
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                , geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical 
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                computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput 
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                27.06.2025 Application deadline: 13.08.2025 The following position is available at the Paleoanthropology Section of the Faculty of Science beginning November 1st 2025 or shortly after. PhD 
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                27.06.2025 Application deadline: 13.08.2025 The following position is available at the Department of Linguistics of the Faculty of Humanities beginning November 1st 2025 or shortly after. PhD 
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                the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission