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Field
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? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in
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to research in any of the fields of statistical science, pure mathematics, applied mathematics and computational mathematics and is made in one of those three areas in turn at two-yearly intervals. Closing date
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following criteria: Degree in chemistry, biochemistry, computer science or mathematics. Have or be about to obtain a relevant PhD.(must be obtained within 3 months of date of interview) Significant, relevant
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acting as a role model and fostering an inclusive working culture Person Specification PhD (or near to completion) in Data Science / Mathematics / or another relevant computational subject High level
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reputable journals and present at conferences. Job Requirements: PhD degree in Mathematics or Computer Science or related fields Proficiency with mathematical modeling, data analytics, and machine learning
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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to creating opportunities for people traditionally under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves. You will be able to carry out
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
of: Astronomy, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer Science
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational