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solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment
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on next-generation neuromorphic computing systems. Inspired by the computational principles of the human brain, neuromorphic systems promise ultra-low-power intelligent processing through event-driven
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evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your
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, and communicate complex spatial environments? Do you hold a master’s degree in cognitive science, environmental psychology, human-computer interaction, geo-information science, or a related field, with
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contributing to open-source tools for future research Where to apply Website https://www.academictransfer.com/en/jobs/362098/phd-student-digital-biomarkers-… Requirements Specific Requirements Curiosity
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science into real-world solutions protecting human health from extreme heat? We are seeking a talented PhD candidate to join the Horizon Europe Innovation Action Project EUROASIS (EUROpean Adaptive
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the heart of Europe. About the Faculty of Health, Medicine and Life Sciences (FHML) FHML is committed to health in the broadest sense: from molecule to human, and from healthcare to prevention. We train
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signals at a time from on-board sensors) battery-powered embedded device that collects and processes the data (using an AI model) from the human mouth and transmit the data wirelessly for further analysis
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spread, but also in-depth insight into how human behaviour, economic incentives, and policy instruments shape decision-making by key chain actors involved. Positioned at the intersection of behavioural
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-world environments inevitably face noisy data, distribution shifts, and situations their training never anticipated. Existing machine learning research focuses on limiting the impact of such disturbances