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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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chemistry; an integrative and cooperative personality with high teamwork abilities; safe handling of inert gas techniques; knowledge of analytical methods for molecular chemistry; Microsoft Office and
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; safe handling of inert gas techniques; knowledge of analytical methods for molecular chemistry; Microsoft Office and chemical software handling; confident presentation of scientific results in English
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on
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Proficiency in spoken and written English. Team spirit and strong analytical thinking skills. Please state your expertise (if existing) with respect to: Turbulence and (flow) instabilities. Analyzing time
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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-psychophysics, employing unique retinal imaging and light stimulation techniques based on high-resolution adaptive optics scanning light ophthalmoscopy. Further information about the scope of our research can be
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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research proposal required for application with a timetable for the four-year research project. Required equipment will be set up and further development of relevant analytical methods will follow