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practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic
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Spectral Theory" at the Mathematical Institute at the Georg-August University of Göttingen. Your profile Master degree in mathematics or equivalent Research focus with an analytical profile in one
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analytical polymer chemistry as well as in membrane technology Knowledge in the field of alkaline solid electrolyte polymers and their application in electrochemical membrane processes such as fuel cells and
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with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
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infrastructure for conducting high-quality research Work with globally unique analytical measurement International, interdisciplinary work environment on an attractive campus (AEG Campus), including many
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models. Through the use of decentralized edge computing, cloud-based analytics, and existing seismic networks, the project aims to improve rapid decision-making and resilience assessment during and after
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international and interdisciplinary atmosphere with state-of-the-art analytical tools to determine the dynamics of soil organic matter. TUD strives to employ more women in academia and research. We therefore
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analytical procedures and data processing methods to determine key performance indicators Use state of the art techniques for the characterization of solids before and after catalytic reactions Evaluate your
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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spoken and written English, and robust conceptual and analytical skills, as documented through course work or research projects. Attestable background knowledge, e.g., through course or project work, in at