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The University of Manchester is inviting applications for a Post-Doctoral Research Associate to lead the design of next-generation vision processor hardware. This role focuses on near-sensor
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, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly, seasonal) scales, combining sensor-based data with human
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, seasonal) scales, combining sensor-based data with human-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency
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energy harvesting from the motion of heart, power management, wireless communication, and recording of cardiac activities. The proposed system utilizes a stretchable transducer that converts the movement
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Mediterranean NBS Community of Practice as a Social Innovation Network”. Building on insights from earlier translocal social innovation research (TRANSIT, URBANA, ARTS), the postdoc will kickstart and facilitate
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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated
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of NBS. This position centres on “Task 3.3 – Establish a Mediterranean NBS Community of Practice as a Social Innovation Network”. Building on insights from earlier translocal social innovation research
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
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Business School and the Stockholm School of Economics with a network of collaborating scholars, primarily at European universities. Previous postdocs from the group have gone on to academic positions at well
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for professional growth through learning, collaboration, networking, and mentorship from Lilly’s leading scientists, aimed at facilitating groundbreaking discoveries. This position is not permanent. It is for a