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to match master students with thesis coaches using a renowned scientifically proven algorithm The emphasis of the work is on innovative development using OOP patterns, Docker, PHPUnit, Blade, Vue.js and
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, and inline interpretation. The work includes validating algorithms on a lab-scale sorting setup and linking spectroscopic outputs to recyclability scoring and Digital Product Passport data flows. Your
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Vacancies PhD position on attacks against large language models (LLMs) Key takeaways This project will investigate attacks on large language models (LLMs), a major recent development in artificial
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and urban infrastructures interdepend and co-evolve, and to identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several
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and initiatives in the field; participate in internal research sprints to explore, test and validate novel EO concepts, algorithms and workflows in a fast-paced, collaborative environment; support the Φ
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modelling efforts carried out by two PhD researchers. The role includes substantial fieldwork: at least two month long campaigns and 1–3 maintenance visits over 18 months. Experience in (Southern) Africa is a
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implement a software engine that automates fault model generation, evaluation, and management. Design and implement advanced test generation methodologies (e.g., test algorithms, Design-for-Test (DfT), Memory
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of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
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) in the field(s) of satellite telecommunication network architectures, techniques and algorithms (coding, modulation, access, synchronisation and networking), system tools and telecom equipment. Duties