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Level A - $83,468 - $113,262 p.a. plus 17% super Conduct independent research / Collaborate with leading academics / Publish in prestigious journals Apply now to drive innovation in machine learning and
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the integration of cutting-edge technologies, including imaging and video analysis, sensor technology, IoT devices, biochemical sensors, and machine learning. The project’s primary goal is to develop sustainable
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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intelligence (AI), machine learning (ML) and vision, natural language understanding, and robotics, to build autonomous systems that can perceive, plan, and respond to their environment in pursuit of high-level
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contribute to cutting-edge research in learning sciences, artificial intelligence, quantitative ethnography, and learning analytics across various educational environments, including K-12 and higher education
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requires strong technical skills in Python, R, machine learning models, cloud computing, edge computing, and FPGA. Additionally, you will contribute to the AI Centre by designing new AI subjects, supporting
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of Chemistry is looking for a Post Doctoral Research Fellow to join in an exciting project Parameterisation of voltammetry in a machine learning environment. The project involves working with a multidisciplinary
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. Experience with bioinformatics tools and libraries for genomics analysis (e.g., Seurat, Scanpy, CellRanger, Nextflow, Singularity, Docker). Expertise in machine learning techniques and deep learning frameworks
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of decision making and machine learning, with real-world testing and feedback. The successful applicant will work on ideas in decision making supported by multi-agent reinforcement learning and other related
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collaboratively with colleagues from multidisciplinary disciplines Excellent time management and planning skills, with a commitment to delivery Strong background in machine learning and/or deep learning, and signal