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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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Academic Diplomas (MSc/PhD – in English) List of publications A one-page statement discussing your view on how to develop robust metrics and data collection methods for measuring and assessing environmental
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), seeks to employ an assistant professor in molecular parasitology and experimental vector biology, with a special emphasis on modern molecular methods such as environmental DNA for early detection and
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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to partake the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental
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Associate Professor Thor Grünbaum. The larger project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology, cognitive
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positive and supportive team environment. You prefer to stay organized and take pride in completing your tasks in a thoughtful and structured way. As a formal qualification, you must hold a PhD degree (or
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properties and materials processing Develop methods and procedures for utilising the digital passport concept in a remanufacturing framework Translate industrial needs into effective and efficient