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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track
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PhD degree in Chemistry, Material Science or related filed. Solid knowledge and demonstrated skills in polymers chemistry are essential; expertise in physical organic chemistry, coatings and formulation
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dynamical systems. The position is part of the research project “A Rigorous Framework for Transient Random Dynamics”, funded by the Dutch Research Council (NWO). You will be part of a team with a PhD student
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exoskeletons and bionic limbs. You’ll be part of a dynamic, collaborative environment that values innovation, rigor, and translational impact. Information and application Apply by 23:59 on August the 24th, 2025
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sustainable way of dealing with their health conditions. The technical challenge within this project lies in the huge variance of the data. Furthermore, the app needs to be able to work with sparse incomplete
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. Integrate this neural information into real-time musculoskeletal modeling using our CEINMS-RT framework . Enable neural control of a bilateral cable-driven ankle exoskeleton in post-stroke individuals during
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the supervision of PhD candidates and we encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own
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past and/or current research/activities Ability to gather and share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed
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quickly derive the necessary information from noisy, incomplete, real-world data. Furthermore, the algorithms to be developed within this project will be implemented on automated beds that provide fully
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the social origins of these different meanings; 3) improve alignment between (non-)governmental efforts and citizens’ perspectives by demonstrating how these meanings shape responses to information campaigns