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Your Job: You will develop instrumental analytical and theoretical methods to determine the origin of hydrogen and, in particular hydrogen carriers (including methanol, LOHC systems, formic acid) by
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), which are driven by real applications in life science research Develop solutions to integrate large foundation models into microscopy image analysis and analytical data analysis workflows, together
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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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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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data Data analysis of mass spectrometry data Your profile Masters, Diploma or equivalent degree in Biology, Analytical Chemistry, Biochemistry or related subjects Good understanding of tools such cell
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data Data analysis of mass spectrometry data Your profile Masters, Diploma or equivalent degree in Biology, Analytical Chemistry, Biochemistry or related subjects Good understanding of tools such cell
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of the possible influence of storage-related factors on the LOHC purity Method development and application of suitable analytics (e.g. GC(-MS), NMR, etc.) for the qualitative and quantitative determination of by
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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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; 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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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