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(e.g. Large Language Models and Deep Learning architectures for Explainable AI, Agentic AI, Neuro-symbolic AI and Reinforcement Learning) with connections to Natural Language Processing, who will
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for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning
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Inclusion and Healthcare System Equity (WIHSE). WIHSE encompasses a diverse portfolio of programs aimed at fostering future healthcare leaders and advancing health equity. This role will apply a deep
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Engineering, or related fields. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS or ROS2 for real robot software integration. Proficient in Python and C
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collaborative leader to serve as Director of External Partnerships & Experiential Learning. Reporting to the CES Dean and working closely with school academic leadership, faculty, and the CES Director of Career
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
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projects and to acquire funding. In education, you will teach in the Biology programmes, develop and coordinate a new course, and supervise research projects of BSc, MSc and PhD students. Where to apply
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comparable qualification) in a relevant discipline (computer science, mathematics, AI) Expertise in one or multiple of the following areas: Deep Learning, Computer Vision, Signal Processing (Synthetic Aperture
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 2 months ago
, Pengwenlong Gu, Cedric Adjih, Paul Muhlethaler, Ahmed Serhrouchni, "DS-IRSA: A Deep Reinforcement Learning and Sensing Based IRSA" in IEEE Global Communications Conference - GLOBECOM 2023, Kuala Lumpour
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. Experience in Python, deep learning, PyTorch, and TensorFlow will be considered an asset. The selected candidate will be encouraged to enrol in further research studies aligned to the project. The University