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the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Reporting to Research Scientists
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within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record of innovative scientific
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program within a federal science agency. Mentor: The mentor for this opportunity is Mari-Vaughn Johnson (mvjohnson@usgs.gov ). If you have questions about the nature of the research please contact
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statistics, physics, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics
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Role type: Full-time ; Fixed-term for 2 years Faculty: Science School: School of Mathematics and Statistics, Melbourne Integrative Genomics (MIG) Salary: Level A.4 - A.6 AUD $100,214 - $108,156
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), MEng/MSc (Research Associate) in Electrical Engineering, Computer Science, Statistics, or other related fields. Solid Mathematical skills. Experience in one of the programming language – Python, Matlab
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. The employment period will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD program in technology within three
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education in reservoir physics, applied mathematics, chemical engineering, geoscience, applied petroleum technology, or a related field, or must have submitted his/her master's thesis for assessment prior