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are listed below:; ; Research Topic #1 – Automatic User Requirements Assessment for On-demand Emerging Wireless Networks; - knowledge of Vision Foundation Models (VFMs) and Vision Language Models (VLMs
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; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing
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); - Excellent performance in programming, software development course units.; Minimum requirements: - Proven experience with the Python 3+ programming language; - Experience with the TypesScript programming
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workload’s data (e.g., Deep Learning, Large Language Models) while addressing the I/O interference and fairness challenges faced by current distributed infrastructures, where storage resources are being shared
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or heterogeneous systems programming experience in C/C++ language fuent in English (written and spoken) 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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: - prepare the requirements specification for a software module that allows the use of pre-trained large language models (Large Language Model); - containerization and availability of trained models
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language; - Practical experience with the eBPF technology; - Practical experience with different eBPF libraries and understanding of their practical differences (e.g., feature support, ring buffers, polling
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, and large-language models (i.e., ResNet18, ResNet50, AlexNet, VGG19, Llama, Qwen, GPT). Solid knowledge of the training pipeline and respective performance bottlenecks. Knowledge and experience with
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: Advanced knowledge of a programming language (e.g. Python, C++). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic