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” concentrates on the understanding of structure-performance indicators in electrocatalytic reactions. Our catalysts are the heart of sustainable energy conversion processes such as in hydrogen fuel cells
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, accounting for cars, buses, trams, bicycles, and trucks as a function of transport supply and travel demand. The objective of the project is first to develop assessment indicators based on the MFD
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applications, through high-performance microbial bioprocesses (“precision fermentation”) and tissue engineered cultured meat from animal cells. Requirements We are looking for applicants with a Master’s degree
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics
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or experimentally test the vein network dynamics of our model organism Physarum polycephalum. Your findings pave the way for control of vein network architecture and their function. Requirements As a suitable
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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of
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techniques and 3D cell culture, you will grow human microvascular tissue on chip whose architecture self-organizes in response to vasoactive substances. Your work will lead the way to applications of flow
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transported nutrients. Combining micro-fluidic techniques and 3D cell culture, you will grow human microvascular tissue on chip whose morphology self-organizes in response to vasoactive sub-stances. Your work