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flexible working arrangements The School of Mathematical and Physical Sciences at Macquarie University (MQ) in Sydney Australia is making a substantial investment to grow its research capacity in
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, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine learning foundations, computer vision and perception, statistical learning theory
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PRIMARY DETAIL • Opportunity to build your research in Statistical Data Science • Welcoming, diverse, and inclusive workplace • Progressive flexible working arrangements THE ROLE The School
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the School of Mathematics at Lancaster University. You will play a pivotal role in supporting cutting-edge research projects in mathematics and AI, collaborating closely with researchers, academics, and IT
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University seek motivated postdoctoral fellows with a Ph.D. in electrical engineering, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine
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disease modelling and analytics network. Staff and students work closely with colleagues in the School of Mathematics and Statistics, School of Computing and Information Systems and the Peter Doherty
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Mathematics, Statistics, Computer Science or related field with research interests in the aforementioned area. ABDs with anticipate completion by July 2024 are encouraged to apply. Ideally candidates should
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of Chemistry and Materials Science, the School of Physics and Astronomy, and the Thomas H. Gosnell School of Life Sciences. The SMS promotes research in mathematical and statistical sciences and is the home of
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perspectives. Basic Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Physics or relevant analytical field required. Additional Qualifications and Skills Graduate degree in Data
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or Senior Lecturer in Mathematics. The School encompasses the disciplines of Physics & Oceanography, Chemistry, Geography, Aviation and Mathematics & Statistics. A comprehensive program of