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storage, and how engineering designs (e.g., well controls) can be optimised to maximise hydrogen recovery given the different depletion states of the reservoirs. The ultimate aim is to develop a set of
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Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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. The zero-emission laboratory of MARIN can be used for validation of the control strategies with real components. The candidate will be part of a large team of PhD students working on different aspects
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of human memory and the contribution of hippocampal ripples to ‘offline’ consolidation mechanisms. PhD Candidate: Neurophysiological mechanisms underlying human memory Our goal: To uncover
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sensor technology to control grippers and multi-finger hands. Your primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll
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to demonstrate: Masters degree in science, engineering or economics (must have been awarded by the agreed-upon starting date of the PhD). Strong quantitative and analytical skills. Very good written and spoken
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Your job Do you want to make a real difference for arable farmers in the Northeast Netherlands as a project developer and project leader? You will translate their questions and challenges
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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to engineer organ-specific ECs. The obtained insights will be used to explore experimental approaches to control vascularization of engineered tissues and organoids. You will work with human induced pluripotent