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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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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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-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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significant contributions to fundamental machine learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics
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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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, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable
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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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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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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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topic of transport geography.More specifically, you will work on the topic of "inclusive, sustainable, and efficient accessibility: systematically evaluating and learning from 'smart' initiatives." What