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) Strong knowledge of classical and modern control theory Experience in designing control strategies for energy-efficient fluid power systems Experience with modelling and control of hydraulic displacement
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. Control and dynamic systems: A solid understanding of control theory, dynamic modelling and autonomous systems. Experience with trajectory tracking, path following, model-based control, state estimation
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academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it
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loading, wave–current environments (e.g., wave kinematics, high-order wave theories), and vortex-induced vibration would be highly regarded. Familiarity with contact modelling and structural degradation
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controlling electrochemical interfaces across scales. Computational PhD position: You will develop an AI-enhanced multiscale modelling framework combining density functional theory, ab initio molecular dynamics
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decision making. This raises novel questions about designing systems that assist users while supporting independent thinking. To safeguard users’ cognitive autonomy, this project aims to identify when users
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will work alongside researchers from a wide range of disciplines and engage with hospitals, industry and public-sector partners to address some of society's most important health challenges
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soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section for Applied Power Electronic Systems. You
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from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section
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strong interdisciplinary collaboration. You will work alongside researchers from a wide range of disciplines and engage with hospitals, industry and public-sector partners to address some of society's most