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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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background is required with documented expertise in the following research areas: Expert understanding and ample track record of Mass Spectrometry-based proteomics Strong track record in both method
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. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine
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chemical analysis methods, Experience in at least one or more of the following areas is a plus: oxygen-sensitive enzymes (glovebox), metalloenzymes, cultivation of different bacterial cells, enzyme
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), methods training, community engagement, conference presentations, and formal and informal mentorship and networking opportunities. Requirements Ph.D. in Health Services Research, Economics, Sociology
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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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. The following will be considered advantages Good understanding of quantitative methods. Familiarity with established softwares for the analysis and processing of MRI images of the brain. Experience with
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in virtual and augmented reality environments. Ideal candidate will: • Develop and implement methods for real-time user authentication in telepresence systems using various teleinteraction device
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) methods. The materials and devices would consist of patterned multilayer magnetic thin films, ferroelectric materials such as Zr-doped HfO2, as well as novel quantum materials. Of particular interest is the