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. The fellow will participate in a prospective, randomized, adaptive trial investigating the efficacy of percutaneous electrical phrenic nerve stimulation and intermittent controlled mechanical ventilation in
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management. They should have a track record of research dissemination, a good command of written and spoken English; good interpersonal and organizational skills; and be attentive to details, responsible, and
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and motion planning, whole-body control, multi-contact manipulation/locomotion, machine learning and optimization, avatar animation or related areas. You have experience working on real robots and great
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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolyzers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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environment. A good command of written and spoken English is essential. Why Join Us? This position offers a unique opportunity to work on an innovative and potentially disruptive energy technology addressing
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should have sound knowledge of quantitative research methods and a good command of written English. Prior experience and keen interest in research areas such as palliative care, end-of-life care, and
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research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other duties as
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publications per year) Support the PI in grant development and submission Supervise graduate and undergraduate research activities related to human data acquisition, data quality control, data analysis, result
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments
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controllers Build a strong network in the programming languages, verification, and networking communities, including collaboration with the lab’s academic and industrial partners Contribute to the design