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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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This PhD project covers a broad range of research topics in network security, with priority given to candidates interested in the network-layer security challenges of distributed systems like
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If you are interested in drinking water and appreciate modelling drinking water distribution networks, this project is for you. You will work in an academic environment within ongoing research
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are distributed by a service provider (e.g., WhatsApp), all users will consistently get the same public key for any given user. The PhD student will focus on protocol design, security proofs, and integration
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the analysis and evaluation of agglomerations, distributions and flows of people and resources, and the ideological formations and norm systems that impact policy, planning and design. On the other hand, it also
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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involves a collaboration between the Mijakovic lab and Mölnlycke Health Care (MHC), a world-leading producer and distributer of wound care products. The aim of the project is to functionalize existing
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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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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer