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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.).While the position start date is flexible, the successful applicant must have completed
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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, working under the mentorship and guidance of Associate Professor Courtney Fung, PhD, and Honorary Professor Bates Gill, PhD. The fellowship is structured across two areas: - 80% Research (approximately four
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Support pioneering neuroscience, advance discovery and help shape the future of Parkinson's research. . Annual base salary: $112,550 (Level A, step 6 - PhD Awarded Rate), plus 17% superannuation
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experience in the following areas: deep learning and/or computer vision continual learning vision language models Experience in developing comprehensive benchmarks. Robust coding and software engineering
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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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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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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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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