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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
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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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and industry insights. The candidate will be expected to: Apply advanced analytical and AI methods to solve real-world operational challenges. Publish in leading journals and present research
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of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise in analytical theory from
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and analytical skills with leadership in complex design efforts Highly motivated and having a clear focus on producing high-quality scientific publications in peer-reviewed journals and presenting
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Strong analytical and solution-oriented thinking skills Quick to adapt to new technical and scientific contexts Flexible and adaptive team player Highly motivated and having a clear focus on producing high
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analytical skills with the ability to lead complex design efforts. The ability to quickly familiarize yourself with new technical and scientific contexts Good written and spoken English skills as a basis for
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related field of study • Interest in energy technology and energy economics • Experience in energy system modelling is an advantage • Basic programming skills, ideally in Python • Independent and analytical
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technology and economics Experience in energy system modeling is beneficial First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent
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completed scientific university education (Master's/Diploma) in food chemistry, chemistry or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS