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transition of quality advisors in the non-formal education sector towards their new exclusive role as quality facilitators. The objectives are to systematically document and analyse organisational and
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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involves software development, measurements using local and large international facilities, and a keen eye on developing relations between local order and material properties. The candidate must have a
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secondments: A three months secondment at ISAS with co-supervisor R. Heyer is planned to exchange on data formats and to be trained to exploit the new version of the MetaProteomeAnalyzer Software A three months
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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to develop innovative methods and actionable tools for detecting, analyzing, and preventing vulnerabilities in supply chain systems, leveraging state-of-the-art AI and ML techniques to improve overall security
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-mentioned methods Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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assistance in the supervision of PhD students Your Profile... The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine. With a proven record of accomplishment