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. The research will be conducted in close collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in
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. Knowledge in Advanced Physical Models such as the ones typical used in Many Body physics, Superconducting Quantum field theories and RF Quantum Optics. Interests in Exploring novel kinds of Quantum Sensors
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in the Philosophy Discipline. The skills required
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excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data
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the growth and development of students’ 21CC; and (3) To build a foundation for a theory of transference of learning and skills across domains by exploring the potentials of AIIBL for cross-disciplinary
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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Probability. Other Centres include the Centre for Combinatorics, Algebra & Number Theory, the Centre for Geometry, Analysis and Gravitation, the Centre for Dynamical Systems, Statistical Physics and Complex
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, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and theory is desired, along with excellent oral and written communication
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Posting Details Title Information Assistantship Title Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to the Graduate School 2
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) Experience with modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) Background in at least one of the following: graph learning, scientific computing, surrogate modeling, or ML theory Interest in