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Field
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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Launch your career at Australia’s leading scientific research organisation! Exciting opportunity for an early career researcher with a PhD in Mathematics, Data Science, or Computer Science Join the
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skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates
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trajectory. About You You must be available to start mid-to-late 2025 Level A applicants are expected to have: A PhD (or be near completion) in engineering, applied mathematics, or computer science. Experience
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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position Machine learning is the mathematical and computational engine of Artificial Intelligence (AI). It is a fundamental force of technological progress in our increasingly digital, data-driven world
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mathematics) or should be close to submitting their PhD thesis. They should also have experience in handling longitudinal data and conducting microsimulation or agent-based modelling. Good communication and
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, Computational Science, Applied Mathematics, or a related field. Soft skills Critical thinking and problem-solving, Collaboration and teamwork, Good communication, Time management and self-motivation Hard skills
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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working