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Position as Postdoctoral Research Fellow available at the Department of Biosciences as part of the UiO: Life Science Convergence Environment AUTORHYTHM. The candidate will develop new machine learning
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for improving a healthy lifespan. To reach this goal, we will use machine learning, sonification strategies, mathematical modelling, and experimental systems of cell biology and aging. AUTORHYTHM builds
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fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations
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combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
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Excellence, funded by the Research Council of Norway. Integreat aims to shape the new field of knowledge-driven machine learning in Norway. Our research makes machine learning more sustainable, accurate
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the research themes of software engineering, engineering computing, sensor networks and robotics, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The Fellow
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: Ability to develop and implement molecular dynamics, coarse-grained, and Monte Carlo simulation, and quantum simulation methods for modeling polymer nanocomposites. Knowledge of developing machine learning
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relies on combining polarized quasielastic neutron scattering (pQENS), inelastic neutron scattering (INS), and molecular dynamics with machine-learned potentials to gain insights into ion conduction
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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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of Norway. Integreat aims to shape the new field of knowledge-driven machine learning in Norway. Our research makes machine learning more sustainable, accurate, trustworthy, and ethical. Unlike the current