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strategies to address them within the scope of the project Develop new agentic AI methods for the autonomous configuration and deployment of 6G core functions in the edge-cloud continuum Design, develop, and
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aims to secure the network infrastructure of distributed AI. The focus is on designing resilient architectures and protocols that combine network-level protections with AI- and system-level adaptivity
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for the autonomous configuration and deployment of 6G core functions in the edge-cloud continuum Design, develop, and use digital twin environments and validation tests to ensure correctness and reproducibility
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your own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another
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undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position
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sciences using a range of quantitative methods. The division has around 50 staff members, faculty, and PhD-students with diverse expertise including engineers, natural and social scientists. The Department
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you will do Conduct independent research in collaboration with the research group Customize microfluidic platforms by integrating biological barriers and tissue-mimicking materials into chip designs
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through scientific publications and presentations Conducting independent and self-motivated research while contributing to our research team Who we are looking for PhD in inorganic solid-state chemistry
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration