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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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transformative EU ecosystem to foster digital innovation and facilitate interoperable seamless digital transformation across sectors. As such, you will contribute to building a vital pillar for Europe’s future
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of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably
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ecology, soil science, biostatistics and -informatics, botany and ecosystems Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and
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from water samples compared to tissue samples for early detection of disease. Another is to perform “what if” scenario modelling to compare suitability for different sampling protocols in farms in non
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research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results
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initiatives towards the development of new environmentally friendly products, cleaner and more sustainable manufacturing and farming processes, new medical treatments, and richer biodiversity and ecosystems. In
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models, threat mitigations, and system-level architectures to support trustworthy and fail-operational task offloading. Responsibilities: Conduct research in security-aware real-time offloading in
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and