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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
CV (including a list of two referees), a statement of research interests and achievements. Essential A PhD in plant ecology, functional ecology, ecophysiology, environmental biology, or a closely
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achievements. Essential A PhD in plant ecology, functional ecology, ecophysiology, environmental biology, or a closely related discipline (awarded or under examination). Current work rights in Australia
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acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction
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Learning. Experience with the deep learning ecosystem and high-performance computing infrastructures. Experience designing and conducting experiments with human participants is a strong plus. Experience in
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below: Essential: A PhD in Mechanical Engineering or a related field. Strong experience in computational mechanics and simulation tools (e.g., COMSOL, ANSYS, Abaqus). Experience in thermo-mechanical
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. Willingness to support project reporting and milestone reviews. Hard skills Strong programming skills in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with reinforcement learning
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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stakeholders, end users, industry partners, and multidisciplinary research teams to support system integration and project delivery. Preferred Skills Python, C++, ROS/ROS2. Computer Vision (OpenCV, Deep Learning
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of deep learning, specifically, foundation models, diffusion models is a must. 1) For image/video watermarking: In depth knowledge of AI editing methods and property of generative models. 2)For video
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Science, or related field Knowledge and experience in computer vision, machine learning, and deep learning Good written and oral communication skills Experience in leading research projects Proficiency in basics