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study flow dynamics relevant to reactor design using optical diagnosing methods, followed by image processing, which may include machine learning-based techniques. This suits Mechanical Engineering
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(MPC) and Reinforcement Learning (RL) have proven effective in isolated studies, their widespread deployment is hindered by the lack of interoperability, the high cost of model creation, and data
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biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits
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collaboration with the PI and lab members. Design, implement, and analyze behavioral and neuroimaging (fMRI) experiments. Develop and apply computational models (e.g., reinforcement learning, drift-diffusion
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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language-learning processes, such as implicit pattern detection during speech listening. The PhD candidate will test the hypothesis that late-developing, top-down cognitive abilities—particularly executive
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distortion that arises in a complex aero-engine intake. This is predominately a hands-on experimental aerodynamics project with the goal of developing an approach to synchronously acquire velocity and total
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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transformation, innovation, energy and sustainability, development economics and economic demography, as well as financial history, education, and labour markets. More information is available on the department’s
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machine learning and AI to design new communication protocols and strategies for satellite networks. Your competencies We are looking for two motivated and curious PhD candidates. It is important the