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incorporating context from additional data such as wireline logs or well reports. You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want
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programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL ● Experience with applied computer vision, such as convolutional neural networks and vision transformers is preferred
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complex cognitive tasks? What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? How can neural circuits generate the complex
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
. This dataset will enable the training of specialized deep learning models (neural network or transformer) for automated segmentation of tibial plateau fractures. iii) The algorithm must then be trained
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emotional development, learning, school readiness, and educational achievement) and AI models of detection and intervention (e.g., machine learning, large language models, neural networks). To offer a few
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experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in conducting experiments for training and evaluating deep neural networks Knowledge
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, Computer Vision, Natural Language Processing, Biocomputation, Neural Networks, Generative Artificial Intelligence, or Mathematical Modelling who can: Conduct high-quality research, evidenced by publications
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acceleration methods such as quantization, pruning, knowledge distillation, and cache tuning; demonstrable results with LLMs or large-scale neural networks. Demonstrable familiarity with AI/ML optimization tools
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preservation, and safety guarantees), knowledge representation and reasoning, and cognitive science (computational linguistics, philosophy, and computer modeling of neural networks and brains). The successful
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solutions, which typically involve data-driven AI approaches, relying on neural networks, reinforcement learning, graph neural networks, etc. In this PhD position, you will build on our expertise in