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automatically generating insights from heterogeneous databases related to hunger and food security; 2. To implement the proposed framework in a focused case study for the city of São Paulo, combining different
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-quality research results in top-tier venues spanning machine learning, reinforcement learning, embodied AI, and AI in education (e.g., NeurIPS, ICML, ICLR, ACL, CoRL, IEEE ICRA/IROS, AIED, EAAAI
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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We are offering a postdoc position in an exciting national project focusing on software security, with great opportunities for collaborations with top researchers in cybersecurity, program analysis
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for Transportation (VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
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ICFO is offering up to five postdoctoral positions to a well-qualified, highly motivated and dynamic young scientists who wish to enhance their scientific career in a friendly and stimulating environment. The successful candidates will be joining the Optoelectronics group led by Prof. Dr....
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Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
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will carry out work as part of the AMI ‘Skills and Professions of the Future’ (CMA) project, focusing on the fire safety of lithium-ion batteries, with the aim of gaining a better understanding of the
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studies in the area of machine learning for wireless communications. Develop and implement machine learning techniques for communication systems, with a strong emphasis on producing high-quality research
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Seed Fund grant and is fixed-term to 29 February 2028. The Secure Encryption Key Exchange (SEKE) project is aimed at developing an eavesdropper detection system based on noise statistics for optical