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UCF’s strategic goals. With a focus on innovation, security, and excellent service delivery, UCF IT supports the university’s mission of teaching, learning, research, and community engagement
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-driven simulation environments for digital twin applications. This role will focus on integrating reinforcement learning (RL), deep learning (DL), and generative adversarial networks (GANs) into simulation
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techniques such as deep learning, reinforcement learning, or GANs. Experience with simulation platforms (e.g., Gazebo, Unity) for system testing and validation. Familiarity with containerization tools (Docker
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language processing), machine learning, or data science. Preferred Qualifications Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3
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communication and collaborative skills. Experience with SLAM, sensor fusion, LiDAR/depth camera data processing. Familiarity with deep learning for obstacle avoidance (e.g., map-less navigation). Background in
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analytics - Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and large-scale data analysis Additional Application Materials Required Cover letter CV Research Statement or Relevant
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UCF’s strategic goals. With a focus on innovation, security, and excellent service delivery, UCF IT supports the university’s mission of teaching, learning, research, and community engagement
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Security, Mathematical Aspects of Deep Learning, Theory of AI and Data Science, Brian-Inspired AI, Biomedical Applications, Smart Materials, Smart Mobility, Genomics and Computational Biology, as
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via the Master of Science in Data Analytics program directed by Dr. Garibay. Also, there will be collaborative projects with other experts in deep learning, data analytics, and innovation modeling