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Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from the 01.10.2022. The Trustworthy and Privacy-Preserving AI Group (PI: PD Dr. Georgios Kaissis) at the Institute for AI in
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management of bridge portfolios. You will create tools that transform complex data into reliable insights for infrastructure safety and sustainability. The project is a collaboration between the Engineering
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reliability and flexibility Experience in single cell/nuclei or spatial transcriptomics are preferable, but not required Experience in immunological techniques (e.g., flow cytometry) are a plus We are an
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to learn and team spirit Strong sense of responsibility, organisational skills, high reliability and flexibility Experience in single cell/nuclei or spatial transcriptomics are preferable, but not required
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goal-oriented approach to work Team spirit, flexibility, and reliability Very good written and spoken German and English skills Confident use of MS Office WE OFFER: Collaboration in a dedicated team of
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demonstrate a high level of motivation, initiative, problem-solving skills, and a willingness to familiarize yourself with a wide range of tasks. You are characterized by your teamwork skills, reliability
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functional quantum chips, however, the integration of reliable single-photon emitters remains a major open challenge. Among the most promising candidates are erbium (Er³⁺) ions in isotope-pure silicon, which
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systematic approach structured and goal-oriented thinking capacity to familiarise yourself quickly with new topics creativity and openness to new approaches reliability, engagement, and a high level of
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded
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scientists and automation specialists to develop a reliable, fast, material testing process Your Profile: Excellent masters degree in Chemical Engineering, Materials Science, Data Science, Mechatronics or a