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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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of the position is to develop the independence as a researcher and to create the opportunity of further development. The research tasks include the optimization of cultivation processes and freeze-drying
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the last three years prior to the application deadline Strong expertise in at least one of the following: power system optimization/digitalization, or power electronics hardware. Experience in digital
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. The goal is to create a design guide for municipalities and consultants, based on findings from the Chalmers Gårda raingarden pilot , to effectively treat polluted stormwater. The study will identify optimal
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dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for an investor. Specifically, we aim to develop new methods for regime models, including
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consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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maximal signal-to-noise and detection of picomolar levels of protein in the blood. The laboratory’s part of the project is to test and optimize this new strategy and subsequently use it to evaluate