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. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
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. The research will involve studying and modelling the different components of selected critical infrastructures such as energy, industrial control, and petroleum systems. It will also involve analyzing commonly
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, which include probability theory and mathematical statistics, stochastic analysis, stochastic modelling, stochastic (partial) differential equations, filtering and control, computational methods
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to the Hylleraas Centre for Quantum Molecular Sciences , which will also be involved in CH-CYCLE. The postdoctoral research fellow will conduct research on topics such as: Model studies of CO2 versus ethene
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. The focus is on the development of original mathematical methods for AI and its applications aimed at the modelling and analysis of complex phenomena particularly within economics and finance, energy finance
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that will describe, model and manipulate the physical forces that cancer cells experience during invasion. With this information, we aim to identify the weak spots in cancer cells’ spreading strategy and
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. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may
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and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control
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the development and implementation of dynamic models for learning and flexible decision-making in human–robot interaction contexts; •Knowledge of robotics simulators (preferably CoppeliaSim); •Knowledge of ROS
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. Desired qualifications: Strong interest in or prior experience with data and risk analysis. Experience with statistical modelling, stochastic processes, or applied probability. Experience with scientific