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Lead the technical development of the VariantSpark platform and clinical pathology applications Use your cloud-based, high-performance computing & machine learning expertise to bring IT
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This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in scenarios involving sensitive or confidential data
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Analytics for the Australian Grains Industry (AAGI) Spearhead ground breaking advancements in data engineering by leveraging cutting-edge machine learning techniques Strong commitment and action
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Administrator to be part of the Australian Institute for Machine Learning’s (AIML) award winning Industry Solutions team which develops machine learning algorithms, tests, delivers and maintains software systems
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The Quantum Machine Learning Scientist works within a truly multi-disciplinary team of scientists and engineers at the forefront of atomic electronics and quantum computing internationally, funded by Silicon
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as a consequence of other desiderata. In the context of machine learning, many approaches propose to learn simple models since judicious simplicity can lead to good predictions [3,1]. These approaches
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Overview Join us to make a difference! A highly competitive scholarship to develop new machine learning, statistics and data-driven methods to battle social disadvantage in NSW. You will work with
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Computer Science and/or Chemical Engineering or equivalent; 2) Excellent mathematical and programming skills, in particular in the areas of Artificial Intelligence (AI) and machine learning including deep learning
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. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
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Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health