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: Design and optimization of graphene edge to edge tunning device structures, and electronic signal detection. Design and test of microfluidic structures in combination with the tunneling device. Taking
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engineer to significantly redesign it and build the next generation of the OpenML platform. Key publication: What you will do Goals and core tasks: Optimize accessibility for all experience levels via
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optimal decision-making. This post-doctoral researcher position is part of TUNED (TUnnelontwerp en engineering voor een geologische eindberging in kleilagen in NEDerland), a 4-year research project bringing
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of the hamstrings during push-off can enhance gait after stroke. This position builds on those findings: you will adapt an existing FES shorts system for stroke rehabilitation, test and optimize it with patients
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You
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tasking in real time. The fellowship will investigate how mission planning can evolve from static scheduling to an adaptive, intelligence-driven process executed directly on board satellites. This includes
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, aerial robotics, robotic manipulation, optimal control, robot learning, or human-robot interaction. Experience with developing planning, control, or coordination algorithms for robotic systems, preferably
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. In particular, the interplay between surface properties, wafer morphology, and the resulting bonding performance is still largely optimized empirically. In this postdoctoral project, you will develop
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. As a postdoctoral researcher you will organize and facilitate the participatory process to co-develop these shared narratives and conceptual models for sustainable sediment management. This will be
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meta-analyses can be optimally applied within the field of otolaryngology. In doing so, you will not only contribute to new insights for patients with tinnitus and hearing loss, but also to the further