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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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challenges raised by the increased digitalisation of society. Our in-house iLab develops value-based prototypes and designs. Researchers at iHub are organised around themes, such as algorithmic discrimination
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data and the algorithms need to comply with local legislation. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical mobile applications. Investigate
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Software-Defined Networking (SDN) solutions to dynamically manage network congestion and improve communication efficiency. Research and develop topology-aware collective communication algorithms to optimize
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
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involve the development of novel lattice QCD algorithms and high-performance computing (HPC) codes, and/or exploring applications of artificial intelligence (AI) to lattice simulations. The starting date is
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: Proficiency in algorithm development for autonomous systems. Experience with ROS2, UAV simulation (e.g., AirSim), and real-time system integration. Strong programming skills in C++ and Python. Excellent
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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. The primary project will involve developing system models for radio frequency spectrum allocation, coexistence techniques, and dynamic spectrum sharing approaches that integrate technical, economic, and
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as