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Infrastructure? No Offer Description Use real-world vessel data, agent-based modelling and digital twin technology to accelerate the transition toward zero-emission inland shipping. Job description The
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Scaling, compression, and efficient training of multimodal and foundation models Self-supervised, contrastive, continual, curriculum, and lifelong learning Agentic foundation models, tool use, self
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AI and ML theory, foundation models and generative AI, reinforcement learning and autonomous agents, hardware and systems for AI, edge and federated learning, AI security and privacy, quantum machine
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shortages and complex referral pathways. This role will develop a reliable, scalable, and agent based simulation model that will support caseworkers in developing their care plans for survivors. By analysing
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Overview: Full-time, Continuing position Salary $121,213 - $ 136,507 + 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD campus, and hybrid ways of working About You
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software for quantum-chemical simulations based on AI and ML methods, including defining and creating AI agents, testing methods, and large-scale calculations We offer employment as a university professor in
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in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
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and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent
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(1-2) Applicants with expertise in one or more of the following areas are encouraged to apply: * Foundation Models * Agentic AI * Reinforcement Learning * Medical Image Analysis Position 2: Intelligent
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. Evidence-based Practice Maintains expertise in the ADNP practice model, competency models, and simulation standards of practice. Educates staff on policies and procedures, supporting practice changes based