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Overview Title Australian Research Council (ARC) Discovery Grant funded PhD position Closing the loop on target detection: Neural and behavioural mechanisms College College of Medicine and Public
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, including object detection, segmentation, scene understanding, and robotic perception. Using NVIDIA Omniverse, Isaac Sim , or similar platforms for AI/robotics simulation and synthetic data generation
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, electrical, and plumbing systems, such as ventilation, lighting, and fire detection. In current practice, these domains are managed largely in isolation, inspections remain heavily manual, and evidence
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PhD position: From the Origin of Life to New Materials – Nanopore Detection of Nanocluster Heterogeneity with Single-Molecule Resolution (P2604) 100% position for 4 years, earliest starting date: 1
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simulation pipelines for generating annotated RGB-D data 3D semantic perception: Development of learning-based methods for object detection, segmentation, and scene understanding using RGB-D sensor
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), and ELLIS Institute Finland. You will be supervised by Dr Julien Martinelli and Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and
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must be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing
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Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent
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Primary supervisor Jesmin Nahar Research area Data Science and Artificial Intelligence Background Colorectal cancer is a major health challenge, and early detection and accurate risk assessment are
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Primary supervisor Jesmin Nahar Research area Data Science and Artificial Intelligence Background Colorectal cancer is a major health challenge, and early detection and accurate risk assessment are