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regulation and development on the one, and macroscopic stimuli (light, touch) on the other hand. We use tools from statistical physics, information theory and non-linear dynamics to understand the how well a
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theory and statistics. You thrive on conducting research geared to real-world application in the security domain and are intrinsically motivated to collaborate with the Netherlands Police. You harness your
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fields of automotive, satellites, robotics and many more. There are various challenges in such large-scale distributed networks i.e., the low-cost sensing, decentralized statistical inference, distributed
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statistics and qualitative methods (e.g., content analysis) and understanding of user-centred design methods. Ability to work in a team, elicit project requirements, take initiative, obtain results, be
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foundation of statistical machine learning, with applications to satellite-based imageries. Candidates are required to have a strong background in mathematical statistics, signal processing, and physics
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adsorption mechanisms for the target pollutants and regeneration methods. Explore laboratory data using statistics and adsorption models to understand underlying trends, explore adsorption mechanisms and
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Science, Artificial Intelligence, Electrical Engineering, Applied Mathematics, or any field related to the research topic; A strong mathematical background in optimisation, statistical learning, linear
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accounting for uncertainties relating to, for example, data, measurements, statistics, transformation from measured data to derived properties, and external (including environmental) loadings. The position
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best represent this variability in outcome with a statistical model and take its inverse? Is such framework adaptive and generalizable to changes in urban setting? Do you want to improve and develop
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statistics and qualitative methods (e.g., content analysis) and understanding of user-centred design methods. Ability to work in a team, elicit project requirements, take initiative, obtain results, be