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enhance the competencies of the Institute in one or more of the following research areas: foundation models and efficient training/adaptation methods on HPC systems, generative AI and multimodal learning
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on Robotic and Learning Systems, for full-time employment. The successful candidates are expected to conduct top-quality research on collaborative drone operations (including cooperative aerial robotic flight
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ACP’s captured instances on conventional yellow sticky traps. MANIFESTO team will explore advanced and modern Deep Learning (DL) architectures to develop an accurate model for detection and classification
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Deep Learning libraries (e.g., Pytorch, Tensorflow, Keras) will be considered a significant advantage; Previous experience in image processing and\or computer vision will be considered an advantage
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(products, projects, business models). Develop strong knowledge and deep understanding of the local and regional energy landscape with strong focus on the industrial heat. Organizing workshops Preparation
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innovation and engineering execution. The ideal candidate will bring extensive experience in machine learning system design, product-oriented AI development, and hands-on project engineering management
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high caliber, state-of-the-art research, both basic and applied. A central task is to acquire research funding for the Centre, to provide facilities to the researchers, and to support them to acquire
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) region. A core activity of the ERATOSTHENES Centre of Excellence is to conduct high caliber, state-of-the-art research, both basic and applied. A central task is to acquire research funding for the Centre
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, computational intelligence and machine learning, autonomous systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and
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competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in