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Field
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cannot yet be rigorously described by classical random dynamical systems theory which focuses on an asymptotic description of order and chaos in globally simplified settings. Advancing tools from dr
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aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. As a PhD student you will have the opportunity to contribute within one or more of these focus
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(developed by B.J. Evans, O. Hassan and K. Morgan). This solver directly solves the Boltzmann-BGK model equation for the velocity distribution function, which is a fundamental quantity in rarefied gas
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, the link arises because APE is created at high latitudes by strong surface cooling, cause APE anomalies to propagate along the western boundary. To test the new theory, the aim will be to diagnose the AMOC
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theories and methods that will be used, research ethics and a timeline. The list of references can be in addition to the 4-5 pages. An account must also be given of how the work is planned to be carried out
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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and simulation techniques to reduce food waste and make food supply chains more sustainable? If your answer is “Yes!” to these questions, then this PhD position might be the perfect opportunity for you
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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
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Description Within the IQST Graduate School framework, the hot atomic vapor spectroscopy group at the 5th Institute of Physics is currently seeking a PhD student. This PhD program is in close
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of Computer Science and Communication. The position is part of the research initiative “The Digital Society” at Østfold University College. The position is focused on researching the integration of Artificial