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Nanolab and at UiT), including process optimization and structural characterization. Characterization of the fabricated chip with an optical set-up Integrate the chip in a system and adapt the system
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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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pharmaceutical sciences. Practical (hands-on) experience with preformulation studies or formulations optimization, particularly liposomes. Documented fluency of in English and be able to work in an international
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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
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processes. The PhD Research Fellow will investigate oxygen storage capacity, electrocatalytic activity and transport properties of complex oxides to obtain mechanistic insight into the thermodynamics, surface