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Field
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 4.4 "Hydrology" (department “Geosystems”), we are looking for a
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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smart‑city systems. AI vision tools can recognize faces, detect objects, track people, and generate synthetic images with ease. These capabilities also introduce major privacy and ethical risks, amplified
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
provide a dynamic environment that empowers excellence with state-of-the-art technologies, cutting-edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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care, pioneering research & innovation. See the PI’s vision and hope here . Are you ready to set the course for the years ahead? Then we’d love to meet you. What you bring We’re not looking
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a laptop and a mobile telephone. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions Diversity
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physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: Generous paid time off including parental leave Medical, dental, and vision health
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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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DTU Tenure Track Researcher in Neutron Spectroscopy - Uniaxial Pressure Studies of Quantum Materi...
: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact Innovativeness, including commercialization and collaboration with
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AI systems for real-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping