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Field
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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qualitative research methods is required. The project language is English and the applicants should have an excellent command of the English language, written and spoken. Applicants must be able to work
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fields with a socio-technical background Interest in data anonymization and/or technology law will be considered an asset Interest in applying methods commonly used in information systems research (e.g
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processing power of a novel photonic integrated circuit architecture [Heuck2023]. This includes studying the effects of optical loss and decoherence and methods to overcome these by error detection and
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should have very good skills in the English language and a strong background in at least one of the fields relevant for research at ConVeY: Control theory, formal methods in computer science, or machine
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be formally positioned at the Department of Design, but also have access to a co-located working space for all NOTRAP PhD students at the Department of Psychology. The NOTRAP project will be organized
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the development of sensitive quantitative assays for in vitro and in vivo approaches; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal
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a wealth of state-of-the-art methods, providing them with up-to-date concepts of modern biology and medicine. The combination scientific expertise and modern scientific facilities establishes a basis
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networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples
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dealing with investigations on the development of bespoke high-tech laser beam processing methods for surface treatment and repair of aero-engine components. The project will deal with the study of a new