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in sequential decision-making approaches such as Markov Decision Processes, reinforcement learning, deep learning, or adaptive management. You have a strong track record of research publications and
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. Demonstrating enthusiasm for teaching, the teaching/learning process and for individual students. Applying your skills and experience to your assigned teaching schedule. Participating in and contributing
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strong foundational knowledge of machine learning and AI, backed by hands-on experience. Expertise in Diffusion and Flow models and/or Reinforcement Learning is a plus. You have experience with modern deep
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative
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, we’d love to hear from you! - Full-time, continuing position - Competitive salary plus 12% superannuation About the Role We seek a Compliance Officer to join our Early Learning management team. This new
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together to make a difference. Our commitment to students, employees, communities, and our world runs deep, and it’s reflected in every corner of our campus and beyond. Life-Changing Impact: At Auburn, our
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rigorous, collaborative research aligned with project goals. Develop and apply deep learning models, particularly in computer vision, NLP, and multimodal systems. Publish in peer-reviewed journals and
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strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
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support for students. Demonstrating enthusiasm for teaching, the teaching/learning process and for individual students. Applying your skills and experience to your assigned teaching schedule. Participating