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. Develop and apply state-of-the-art electron microscopy methods to study molecules-adsorbents interfaces. Collaborate closely with TUM to correlate nanoscale insights with material performance. Contribute
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the project will be the development of physics enhanced data driven methods to achieve reliable prediction of residual usable life of milling tools. The approach will be validated by application to industrial
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in
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, secure digital communication, medical technology, and new analytical methods. We use and develop basic theory, next-generation instrumentation, and software, and aim to make our data publicly accessible
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the closed-loop system on new molecular scaffolds. Contributing to cross-disciplinary education by providing case studies on computational and empirical method integration. Qualifications You must have a two