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are developing state-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking
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. Furthermore, implementation and customization of bioinformatics workflows for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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and flexibility. We cover the whole data processing chain including image capture, image processing/computer vision and image content analysis with traditional and modern machine learning/AI methods
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in applied research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing
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are developing state-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we
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applied research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing their resilience
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English translation (including CREDIT TRANSCRIPTS!) Contact information of two referees, who have PREVIOUSLY SUPERVISED you in your past research projects Via our job portal/ Apply now - button If you have
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(including CREDIT TRANSCRIPTS!) Contact information of two referees, who have PREVIOUSLY SUPERVISED you in your past research projects Via our job portal/ Apply now - button If you have any questions, please
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: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 30.04.2029 Job ID: 5311 The work group Machine Learning with Graphs of the subunit Data Mining and Machine