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design and implementation of visual cues detection on video datasets (face and gesture), context-aware multimodal analysis, machine learning/self-supervised learning for automatically detecting subtle
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understanding of and experience with programming using Python for machine learning, C# and C++ Essential skills and experience: A PhD in computer science, AI, software engineering or a similar technical field, or
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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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: Technical, operational, and commercial knowledge of AI technologies (ChatBots, LLM, Machine Learning, Data Analytics, etc.) Knowledge of relevant legislative frameworks relating to Data Protection and
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and technical colleagues to ensure the data capability for CDDR is scalable, secure, and capable of supporting advanced analytics, machine learning, and large-scale data processing. Your expertise will
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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow
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: A broad skill set across multiple engineering disciplines, including but not limited to Laser cutting and 3D printing. Experience with milling machines, lathes and waterjet cutters desirable. A solid
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and deliver high-quality learning experiences across Levels 3–7, engaging and inspiring students to reach their full potential. You will play an active role in enhancing the student experience