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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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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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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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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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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
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projects Create project deliverables Your profile Master's degree in information systems, business informatics, business and management, computer science, software engineering, data science, or related
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(SUSTAIN) research unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment
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in their decisions and businesses in their strategies. The AIRA Research Group, part of the Human-centered AI, Data and Software (HANDS) research unit, focuses on assessing and enabling trustworthy AI
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team