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. Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems. Work with real-time and historical air traffic data (e.g., ADS-B) to build
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(especially related to applications of artificial intelligence), and real-world experiences so students not only accumulate knowledge but also develop the commitment and desire to apply what they learn in
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practical application of machine learning methods (especially deep learning) Publication of scientific results in renowned international journals and conferences Teaching of courses as well as planning and
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be found at: https://syllabi.iu.edu/ Responsibilities Full-time lecturer-track faculty commit to a balanced workload of teaching and service, which includes: · Teach graduate courses in the LIS
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-content microscopy and AI/deep-learning-supported image analysis will be used to quantitatively assess neuronal morphology and maturation. Parameters will include dendrite length and branching, axon growth
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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Learning and software engineering with at least 3-5 years of research experience (including PhD training) in related fields. Proven track record in research and development of cybersecurity and/or Deep
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experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Teach and