159 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions in Australia
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes
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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes
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Opportunity Join a visionary and collaborative research team driving world-leading advances in melanoma and skin cancer research. Working at the intersection of data science, artificial
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
straight to your inbox. Create alert Similar jobs Senior Research Fellow in Health Economics Southampton, United Kingdom Post-doctoral Fellow, Department <b>of</b> Microbiology Pok Fu Lam, Hong Kong Professor and Director, Pan Sutong SH-HK Economic Policy Research <b>Institute</b> Tuen Mun, Hong...
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completion) of a PhD in statistics, data science, computer science, bioinformatics, or a related discipline research strengths in at least two of the following areas: statistical bioinformatics
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statistics, data science, biology, and clinical and translational research maintain clear and comprehensive documentation of methods, data analyses, and findings for future reference and knowledge sharing
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, Science, technology and engineering and mathematics Eligibility criteria Citizenship Australian or New Zealand and International What you'll receive You'll receive a stipend scholarship of $37,010 per
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Primary supervisor Alan Dorin Co-supervisors Bernd Meyer Reid Tingley (Monash, School of Biological Sciences) Carla Sgro (Monash, School of Biological Sciences) Research area Data Science and
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function investigate fast-slow decompositions using geometric and asymptotic methods apply analytical and numerical methods to travelling-wave stability problems develop independent research