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The PhD will form part of a broader interdisciplinary research programme in mobile health and AI, with applications in areas such as mental well-being, fall prevention, stroke rehabilitation, and
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in the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zurich, affiliated with the Institute of Neuroinformatics, and the Neuroscience Center Zurich (ZNZ) PhD Program
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), Master of Arts (MA), or Master of Philosophy (MPhil) degree in business administration, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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Programme (FHT1) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch) developed and piloted innovative upper limb rehabilitation technologies and evaluated them in clinical settings, both in hospital and
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integration across several storylines (Financial stability and supply chains; Heat and health; Climate tipping points and abrupt changes). In this role, you will be a natural science and inter
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combine quantum computing and AI to achieve a measurable, real-world advantage? Profile A Masters degree in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning
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commitments Profile We are looking for a proactive, highly motivated and well-organised person, studying for an MSc (or equivalent Master's degree) in a quantitative discipline (such as engineering, informatics
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, identifying risks and contributing to progress reporting. You communicate clearly and diplomatically with researchers, educators, program staff, technology specialists and senior stakeholders, and you are
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experimental challenges Applicants should hold, or be close to obtaining, a Master’s degree in physics, electrical engineering, photonics, materials science, or a related field The position will involve