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Field
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Are you inspired by developing the next generation of intelligent photonic chips? Join us to pioneer heterogeneously integrated photonic technologies for ultra-fast, energy-efficient optical
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Researcher shall: Support CENSE’s research activities by enhancing research capabilities in the field of data analysis and artificial intelligence as applied to ongoing projects in the area of the environment
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, develop connectivity analysis techniques for dynamic brain PET data and explore artificial intelligence solutions to improve brain PET quantification. As a PhD candidate, you will contribute
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this project, you will develop innovative image analysis methods to improve image quality and enable advanced quantitative analyses of ^89Zr-immunoPET data, including radiomics and artificial intelligence
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researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges
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to the topic of the proposal (e.g., digital communication, artificial intelligence, developmental research, research on mis/disinformation); experience with quantitative research methods (e.g., (panel) survey
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, or (Social) Psychology; experience with aspects related to the topic of the proposal (e.g., digital communication, artificial intelligence, developmental research, research on mis/disinformation); experience
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Regional Programme (Norte 2030) of Portugal 2030”, under the following conditions: 1. Scientific Area: Engineering 2. Admission Requirements: i) Student enrolled in a Doctoral Program in Intelligent Systems
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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be accessed here https://www.cam.ac.uk/research/news/kpmg-and-the-university-of-cambridge-unveil-new-partnership-to-reimagine-the-world-of-work-starting This role in BSPP will explore the interaction