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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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that complements research at the department Excellent knowledge of social science methods in data collection and analysis Internationally visible publication record or advanced manuscripts (e.g., revise & resubmit
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well as their research laboratories. Your future tasks: Participation in the administration of PhD call advertisements and selection/admission procedures Ensuring effective information exchange between the Steering
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Information Systems at the Faculty of Computer Science is looking for highly motivated research assistants, Ph.D. candidates. We are offering an excellent working environment in a young, creative, highly
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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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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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panel, shape the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by
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• Language skills: native-level German, very good written and spoken English, good knowledge of Modern Greek, Ancient Greek, and Latin • IT skills, computer literacy • Ability to work in a team Desirable