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structures with extraordinary precision and do so quickly enough to keep up with large-scale production. This creates a fascinating computational challenge: how can we infer hidden physical properties from
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a
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and prothrombin. Wet lab production and screening of the aforementioned binders. Optimization of heterobispecific Fc format using protein engineering focusing on humanization and improved stability
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at cryogenic conditions: Many advanced technologies — like quantum computers, powerful microscopes, and chip-making tools — require extreme cooling. However, the optimal design of cooling systems at cryogenic
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structure-property relationships to guide purification technology selection · Conduct lab- and pilot-scale testing and optimization of different purification methods Where to apply Website https
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electrochemical interfaces for electrocatalysis and batteries. You will investigate how the properties of the electrode-electrolyte interface can be leveraged to optimize the activity, selectivity, and stability
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of secondments and will be enabled to participate in relevant international scientific conferences. Together, this structured training programme is designed to optimally prepare you for a successful career as a
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your results in peer-reviewed scientific journals and presenting them at (inter)national scientific