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position within a Research Infrastructure? No Offer Description Job description This project focuses on modelling, simulation, and decision support for AI-based penetration testing. A central premise is that
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effects on precipitation behavior and particle properties. Selected precursor materials may also be evaluated through calcination and electrochemical testing to assess the potential impact of impurities
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for computational analyses. Use of software and applications for modelling in development cohorts and testing in validation cohorts. Development of predictive software and, in collaboration, management of the group’s
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doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience in mechanical testing relevant to Ni-base superalloys and Ti-alloys (tensile
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of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close collaboration with
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studies of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close
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advanced measurement techniques to test these models in living cells. The detailed knowledge of bacterial physiology is combined with the sensitive measurement tools to develop innovative solutions
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or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience in mechanical testing relevant to Ni-base superalloys and Ti-alloys (tensile, fatigue
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entail electrode preparation, cell assembly, electrochemical testing, characterization of interfaces (largely SEM and XPS, but could also include FTIR, XRD), and experimental/analysis methodology
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characterization methods; knowledge of photochemistry, redox chemistry, or photocatalysis; experience in device fabrication and testing in organic electronics; good ability to communicate in spoken and written