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Field
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involved in: Analysis of data from medium and low-cost sensors Analysis of data from cognitive performance assessments and health survey responses Conduction citizen science-based activities in the schools
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one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or
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materials exhibits prompt changes in magnetic, electronic, or optical properties upon stimuli and are promising candidates for applications in memory devices addressable by light, optoelectronics, and sensors
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Challenge: Building self-organizing edge infrastructure that seamlessly adapts across terrestrial, cloud, and satellite networks. Change: Creating autonomous systems that unify edge orchestration
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? Then this PhD position is for you! Quantum technologies are based on uniquely quantum effects. Among them, sensors using oscillating mechanical systems are especially promising: they can advance
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- Rad) provide continuous but coarse radiative fields (5–30 km). High-resolution sensors such as Sentinel-2, Landsat, ECOSTRESS, and SDGSAT-1 offer fine spatial detail but sparse temporal coverage and
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international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ As a PhD student, you devote most of your time to doctoral studies and the
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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costs will also be provided. Overview This project explores the design of scalable and privacy-preserving AI systems for pervasive healthcare environments, where embedded devices and dynamic sensor
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the classical to the quantum world while developing real-world applications in quantum sensing? Then this PhD position is for you! Quantum technologies are based on uniquely quantum effects. Among them, sensors