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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position
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English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow at
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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agencies, and leading global institutions. The PhD Research Fellow will focus on enabling robust, intelligent robots through co-design of morphology and control. This can involve optimizing robots through
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of great importance to science and education and is interdisciplinary in its nature. INTED has established a research activity applying AI methods to understand interdisciplinary learning processes
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limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading
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nanoparticles. The goal of the PhD will be to seek mechanistic insight into the electrode polarization processes as well as strategies for improving performance by optimization of composition, microstructure, and
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docking for ligand optimization • perform extensive molecular dynamics (MD) simulations (AMBER, NAMD, GROMACS) in fully hydrated lipid bilayer systems to replicate physiological conditions and assess
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probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer
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has established a research activity applying AI methods to understand interdisciplinary learning processes. However, we currently need a more fundamental understanding of AI methods, and the